{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "source": [
    "## A basic set of tools for visualizing FESOM2.0 simulations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## import standard python packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import standard python packages\n",
    "import sys\n",
    "import numpy as np\n",
    "# import basemap\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "# import FESOM packages\n",
    "sys.path.append(\"./modules/\")\n",
    "from load_mesh_data import *\n",
    "from regriding import fesom2clim\n",
    "sys.path.append(\"/home/h/hbkdsido/utils/seawater-1.1/\")\n",
    "import seawater as sw\n",
    "from fesom_plot_tools import *\n",
    "import cmocean.cm as cmo\n",
    "import matplotlib \n",
    "fontsize=20\n",
    "matplotlib.rc('xtick', labelsize=fontsize) \n",
    "matplotlib.rc('ytick', labelsize=fontsize) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## read the mesh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mesh with this name already exists and will not be loaded\n"
     ]
    }
   ],
   "source": [
    "# set the path to the mesh\n",
    "\n",
    "meshpath  ='/work/ollie/pscholz/mesh_fesom2.0/mesh_CORE2_finaltopo_mean/'\n",
    "\n",
    "alpha, beta, gamma=[50, 15, -90]\n",
    "\n",
    "try:\n",
    "\tmesh\n",
    "except NameError:\n",
    "\tprint(\"mesh will be loaded\")\n",
    "\tmesh=load_mesh(meshpath, abg=[alpha, beta, gamma], usepickle = False)\n",
    "else:\n",
    "\tprint(\"mesh with this name already exists and will not be loaded\")\n",
    "    \n",
    "    \n",
    "from ut import *\n",
    "runid    ='fesom'\n",
    "ncfile   =Dataset(os.path.join('/work/ollie/dsidoren/transport_paper/run_c2/fesom.mesh.diag.nc'))\n",
    "edges    =ncfile.variables['edges'][:]-1\n",
    "el_nodes =ncfile.variables['elem'][:,:]-1\n",
    "edge_dxdy=ncfile.variables['edge_cross_dxdy'][:]\n",
    "edge_tri =ncfile.variables['edge_tri'][:]-1\n",
    "nlevels  =ncfile.variables['nlevels'][:]-1\n",
    "zbar     =ncfile.variables['zbar'][:]\n",
    "nodes_x =ncfile.variables['nodes'][0,:]*180./np.pi\n",
    "nodes_y =ncfile.variables['nodes'][1,:]*180./np.pi\n",
    "el_area =ncfile.variables['elem_area'][:]\n",
    "# compute lon/lat coordinate of an element required lated for binning\n",
    "elem_x  =nodes_x[el_nodes].sum(axis=0)/3.\n",
    "elem_y  =nodes_y[el_nodes].sum(axis=0)/3.\n",
    "ncfile.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## computing MOC from vertical velocity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ollie/dsidoren/miniconda3/lib/python3.5/site-packages/ipykernel_launcher.py:28: UserWarning: Warning: converting a masked element to nan.\n"
     ]
    }
   ],
   "source": [
    "result_path ='/work/ollie/dsidoren/transport_paper/run_c3/'\n",
    "records, year=np.linspace(0,0,1).astype(int), 1991\n",
    "nlats=181\n",
    "lats=np.linspace(-90, 90, nlats)\n",
    "dlat=lats[1]-lats[0]\n",
    "# allocate moc array\n",
    "moc=np.zeros([mesh.nlev, nlats])\n",
    "# compute MOC\n",
    "# precompute positions of elements for binning\n",
    "pos = ((elem_y-lats[0])/dlat).astype('int')\n",
    "\n",
    "# compute contributions from vertical velocities on elements and put them into bins\n",
    "for i in range(mesh.nlev):\n",
    "# read the model result from fesom.XXXX.oce.nc\n",
    "    w1=read_fesom_slice('w', records, year, mesh, result_path, runid, ilev=i)\n",
    "    w2=read_fesom_slice('bolus_w', records, year, mesh, result_path, runid, ilev=i)\n",
    "    w=w1+w2\n",
    "#     print(i)\n",
    "    # mean over elements\n",
    "    elem_mean = np.sum(w[el_nodes[:,:]], axis=0)/3.*1.e-6\n",
    "    # weigh by element area\n",
    "    elem_mean_weigh = el_area*elem_mean\n",
    "    # select nodes to consider in calculation based on number of levels\n",
    "    toproc = np.where(i <=  nlevels-1)[0]\n",
    "    # for every bin select elements that belong to the bin and sum them.\n",
    "    for k in range(pos.min(), pos.max()+1):\n",
    "#         if (i <= nlevels[e]-1):\n",
    "            moc[i, k]=elem_mean_weigh[toproc][pos[toproc]==k].sum()\n",
    "\n",
    "# the result from the previous step needs to be cumulatively summed \n",
    "moc = np.ma.cumsum(np.ma.masked_invalid(moc), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/YZwe7OLk0YcqX93D/SgJBeoWRrf3TwUyOvqMbE1yTINiSnOucyBZJjVRz1mW8js1cAU0pn5yAiqRtxyE94ySUbqdX7cC2aJeyBK0qAR9DhycxFICG86rkdVUTjjfn0MjkX2AunVQMgoMnzs6VNEV3T827zZpAvOAQkQL5hKSvx7Nr8pRRcf5ibVE/8niQ71EATk8H0KLPFeUqqLzCI2ESqF4oF49DPAFvhnC5GhYNZH/Y0oHX9yomiouLMSXdDw/VIrA+qpjxGxCTgHZf5FjSEPwQDS311Yb4VoJtUKPUVj91l59IQuvw3pQZFi+HiWhJ+9/GMePvg/Hf/lozUv39v5prbEDUH0eND9NrjRyx1VKTifb2i85zfPVSSe/SYpByv8MaOSBCiRUImJ3DvbHOc3SDYFUhFQ7/nC31ogDmJBF2pBDAt3O1V3+vdNIZPjO1cfdFVXgXHDimUrP6QLJOk4M98+wkGlIi8FFJKOFiBbMFJac0hzwyvmV7WvjixG9yNILd7XAHTYWTaAZng8I4Xlgfi2dLgmtJ60kVOqmVP3dVJECwuscKwZLPUbHTXmThtB9bQxGUCk5BfQK0mZu33D5VFTNDMTy9GAPqaUpmltH8mqBumoScg4pCT092E+S0PA3JaOSKhrAieLtm4fivhKhpEgpmpP9moVFFKdCBbGUB6qRUErAJBJKw7188ZcUaVqEJCE8RsPw4eaZd4Wr9j8YzWOTjbPfeK61xw91Q36JuEkEtQ0k8qlFSbqcL5XqM3SYPjq3KXlcLxoZLUS04EJACs8D+ZWYbcPz80ZGuUVTw84mQUID6opTmoSO/yeLISWfEjnQjqNjr2xfa+ScSoUb0kIayCkAHL1fDm0NfSGkN0h7j9Tb0FqQCmVqociAk0cfqtk1nR4c4PbNyc3X8b4fE9DaZ379XCWjt28eRkll7DGNbFpVTU6yGiqgaNPWDpoSyp0eAL3ZRr1qvH7TQLdXhHO3QUCrxyepFKcHh+S4Q/H1PD04iL6epwf21yg3HK/Bkp6Ts58Efo1IpVNMq4hp2o1WcqvrZ4lCRAtaoa1JcuxxS1u7acESnqeq6DyhDQkNsOSFctTC7w3Vpk48aU5iWExji2hYLINaSklpQFBPqOJCidsJ5Fy3LgtrikDysY/xcO04SfXiWN7cNi3IqYU3nGtMboIaylRQblkGVKRUIqPic2bvIyVLMZVT+3ylSFKsWK6mrDMVXssJ1dRQaV8JQYXSzMZpNXzdXkiuiqcqKCWgPJUImKQXcfIf+45Vj8fJat/IqX6vkf7MqnnpO6GpouNzRAhp265MfOwCGYWIFkwFoULUur0Ngira9aLBoYXnAT1EHzBtdZQbfHNoJJQXJ3FoaignoeO/hbDh6cFBjZyMw8IJZW1yfJ2USnMAIBJVqTAjp2AiN6ft5K8erp2LjyEVnvA8P2nxjeUC0rnWmzhMCl1Clfztm4eqCho+6+GzEshoLqxFQ9XfNlIpPp6w+0kdH0BD0FJuZG1MVpFN/W+BJnEJJFR8T9nNCc0HDSQ0fG+oii3h9v5upzxcDTyy0RWpsbTPvxWpdIKYC4BGSNuuK4WEplGIaMHUkCKdQ1kzNaxIlAtcMPTODc/HlFGepzlNYsrV0BgJDdA8FlOg4cPadkEBpXmJE8gqz+rOhhh6jOXBWQjdmaHaf0w2OiyIQKXI0lxl7bWqzcPQb3q8L1OLOerE5mCshgaEzze/2To4dTUyCkw+M7FcUQssn6s2BJQ+1uZ9s+ZD0hQQMUTPOiHxIqTaOck2CwlNuxFIRNXevG9lcyPqpsBJqYXo55JYnseaezzPLY+eK6KQdg3XD0FCF6VbVA4KES2YK1jVUStplYztV7avmS5ssfA8h+QtKiEQ0yEIaUoNBXQSKpEKS4ES0FwkuPIZwAlofUHVVJ76OJyUagtmmLtWsKJWH9M8Y5Zm0Anvf4Sco0nONcRURWtYtU5sDmtqqEZC9+CxDVcjowE1SyeiZmu5is3nxCzAEvmetccy0ilSNxLJtrSGPEML2W0U1DGLMovafvDwLlGwU/ZW0rVF/n6FXN82CO9bDkm0fp/ajF07DytQlZw3CuYHhYgWXCjQoqWYn+jKxlYWyYiF59tg6KImateUAg/JJ0OqitpEc9k4NBJKcw9lnI6Om4QcLaH8WH5iyjtT2o8Txko1Si/gWt6kdfHXcv9yQd+b8B7sHy3VPtPaTVbeeWxkVINGQq3kQcqrzVVHJVU0lsYRc3EICGqo1NSBzldSQ8NnQMvjTUH7foXCMwqJmIaoBJBWS/sCj3jk3hDWc4Tbq6IF00EhogUXEpZ8nslFLk4KrL3nqSoawxDdmHiB0nieJCwfC8mnkFJD6wVKQh4oWfBobiJQtwuiaC6gkzFycuHaKj7WMWNemWJhSSTHTz3f/uSz3DYkzklNgEZAY6pobW7GHN/JPOpKrqV6u6uSlVv4wh0aanNh2yhJ1dKAeMGYtE81dpOEhnD8/tFy8mZ4c8WLrgccEjnlxJTe+AFpQposaswgsLGIhhWSbV/YvsiqaE5YfhEq5oFCRAumiK5FSTwc31dOaVBwgu8hzxPliNk4WSrp25rgS76gfNzx34oaSivkAV0NtZjXc9CFRiJq3KcyX92pz/14/04WmU5BWpil7elx6h2bpHE08k3B3ys6/uR520g2fW+qeVQEM1cFDQo2oOeJdlFFeSFa7TEDgUi5DLTJG021qAX04jdrZ6RqH52E3jpcsr1fnKgK3zGJnHJiKpFSnoYREN7rPpXSLtX8YzXVWKSWg74LYQsqFCJasNDIJaMrG1ezPOp4nigFJXtcHZXQxgQ/RT6lc4zn55fV/boQOM0ztPq7ToxiJFRTd3iBDKArO3I+nB31MR17TN6ef4765yhFwINybVOKw+euXtjFSQElNpY5dIXFNqh6fKJ8WW56pGIy03yUanVJKQ3bwnWCuy7kelzKPeKbSh9PbaEklL5f0k1w+K4Hohqs2rgDAtD8XgH1TlrA5PvK27vSG0yJlAKpvGZ7OktbYqsRWMngfmi0bTfdBxZFDQUKES2YEtqooXvHt2t9tsM4nHjybU1zezmM1idoqJ6SQQ6JjGqwkFCqgobzhkp5ALWwfK4aGsB9F3NVpRgJpQoPXzwDeLgxQCenE4TjuP1QGyKWClFb5hHGkSAR8DTC8zoFV0clQkDTIrrkhHI/US0830YdjXX+qe1nJBOp1rLaNk5Ic8em0Fp0SqFn7hUavi978DUSGq43W26ltn3LLze+V9J3Kow9Po58nyRCGm5ipJA9n38XdM0zHhqzVEWtYflFIqFAIaIFM4ZGUEM/cImMauNIyqh0R7q8ud0qRAfEK+elvFEJgTAGQppLOKP7GQqUrGpoo5qZ578x31DJnonng2okVPpfI6ZjRAhbw4pof3m8+Kby7EJuZHNeHnun9bm1gUoADcVwEimfKKQTdZSDq6HVa+Cj6poFFhsnS+OC6u+6KmryTE2Q0S7WW9rYMXVVI62xKEL1f92wnn93AgmVri90m4WUAvXvACelGiGl6miAppJaESOzdXeMuMIeQ3hPrJ2WLMgho32oohfNromjENGCwZGrhgYSSv+nZHQov9EALU+UVs7H8kQ5ODmsKafLUFVRK/mkSmiYG2AjS9ZK+YDUghrAC3I4eeLqDgUPM0qQVJ4UNAJcm+doTskSiQyypp0DqJO+1PMFmgSi/rqeN1pwBkg3BX0jVeGvkYkYGR3vY+iPDrT3D6XnoOep+YVGGhBwSNZRvLAvlT4RQvLjmwZ/quafh2sAVUmB6rOmfca08D1tYEAJqdRVi9+IpEipVjgofXYkZdVid9Yooop4Bke9aBPkbxpktA0B1dRQ3n52nlCIaMHM0Hcrz0aIPnKhsHqJBkiV8+J+TBWVFMrGPkKIPkZCY6H/FAmN+YamoC3wWpGSlN9mKbgIRC2mzHW1GrLeRADN/F+uOqVAnwc/jv+vPWfx+Y5SBWgbznqovo5AKqQwbxdIZCSmjEmE1EJGgXgxExD5jHY1VFc6iGlzk0hrPZe62TOeklBeULbvzhD7yAeCKhHS1I0PJaRaNy3JZo3nj3K0cavIdWDgyAnrW3NEY2HuXDIakCKlF10B5ShEtGCuwNVQuj1HFeV5ol2gGdunVNFYmJz3q0+pnzHyGTsXtW2yILeT0vh/ktcm2RNx9VILMwJ1NSeGHFVagiWNoutxEmmViO34MavKHkKu4XUVesIDvGLf9VqkxMO1kjKWQ0g5GaWQQvZDdPTRjpc6/EhzTDVKsHQa4zdw4bty099ORk8kQip9vjghtZBRDilc30d70a5kVAK32+Lh+Wl7iGqktCsBXbTc0IBCRAsGR5/95LtieWNSAZtram8FJ4Vc5RovBoac0hwCGlNDNSugLpBeO2kx5abplGzxhRNgak4H0pZ6bVM2W12x41ZNpNVKbPlzD2R0nKag5o62M0MPn6O2BVpAviG/ZtsjqaR99j4P5+DQOvzIRUbNtrMxFTTW5AGwRQ8CAkGlhFQL1wNNQhojowBqNzkUjaK1jq1fx+MMQEZzkOvV2aV4qS/1c1FJKFCIaMGM0FcVfQ5S+WOrOxuNcFLMTxRIq3JSqJUfI3mP5iqgEgnlBKKtZRMPh2pFSinQRZXnu8UIKUVbFZNCIqA5vq7W3F1KBrTzp95nCqkohZPRZqi+jj66g0mEBIiTkFjuYEwZre/XJHpWiOql4SY01eGH21BJ+9D9rCRUU0M1q7dQ8Lh/diKSUaCpjobxU2SUgn6mpEKm8Jz6IKPTQh9qaPEX7YbF+bQUzBW2r9+Lvcc+ONM5WKycAmjPeeolWi1ITb+6ULA0FCQyajrO2LYzpmK1yg9N5Obx3FAOq7KjkbeuyCGf0mJPnQ1yiss4webzkAi4BYFUpMjoeH+ihlJVWiInOWhDQjRSSvP7Yl17cgipRjZzIyEaAdX+l8ewk9DcZgN3/HlrMqohFabXbkiAvFD9vBFXqlDmqIxh31kQ0kVWQ4FCRAs6YBZktI0qOoSpMLVxsuYqStZPVsunsG9jG1Fc+wilxsDz4/jiS4k7DcvXlFCeL8lCikBz8ew7hM6JpKXNKt1Hs9uKFZylnoP1OUqkIkZGKRp5uqPPXVcyypFDLHgIVis2kVTSGCHNJ5pxIrmyudmpc1CuEhpgUUMDcsgoIFfWc+uyroi2v8240c9N8aDgLT77sG+Koaij+ShEtGCh0YeVU7XI2MLL1MIpBYkkht+WYqec8dV9MgqV2oC/brE0BqrC8cILKcetT0gqpoWASrCQUnpOSSmlRCEHWjGKmDOK5k2JprJ1IaOarU+ARSG1klGgWVBnC7E3FdYcYintK3UUil1HrCTUWikvwUpGgfp7zm2eAqyqqPQZkKCRT2taxzTRRWWcJhlddDUUAIbt81Zw4bF9/d5ZTyGab6p9SfldcsAQCfKSwkC3WQhAqgBKUkPDojFEodJQyMnV3D87Mf9Q3PHnrUkoRxgrNiY/f/g/57lyxIg6JZuBkNKbp75sm6y4vX86/lH3uVnvJnR6cDj+4chVJmUS2U3dzPG4pM/NQkIprGqoBdabu67WaPOMlBrap23SNAjiRSChQFFECxYQqfB8G5U0pWYMjViIPkVUJaJrUUL7It1csZCKZDrZLHUgbBx9EdDU+FwpDeqURkrbqKPjMZgqCjQLT8K2odBWEeMqmFQtLSmkmjoq7WNFn99//p2gzztFQmNdlOYVuYWQOTmhUhGpFdPoJx/DkMpoLgmdVzN7oBDRgjmC5iFqOtZIPle2r/XWbz7W7tMKGp5vExqNVclTtK2YlzCE5RWFRtpi0Aggf3xaoCHSgNjzsT7XWC5tF/SRI2oloxRSSFYjo0C8KxPdZsEQN54xAgqkc0L7uFnQwvMSclMyUt6iFrQpTJq2lVOfSmPfZPSiqKAUhYgWzC32jk+wvdZeKUqZ2qe6K/HK+dBdKSdPNIauRFYrKqALRduwfMOzsWFjoxcqAfXKX6qGcpVHImxAuqL9klsSyeW0CWcMKXLcJ1KqaPicDR2Wb0tGAZgM8WPqqIYhlU51P4WAAjIJlVIn+gzLB7S5edGsnCxoWw3fB/GMuXxISmksLK+pidamKV3I6EWCYWMlAAAgAElEQVQknhwlR7RgrrF3fIK9435Cs1384uYpz1IqKggLRYqEdrVJ6UMNjXWIkSDlYM4T4ZwmLK8bJZtdFbahHBgkSDmkEvHLIZZtSWjI6+Q/pmNbklDus1vQHlav2a4eojnh7uxQ+sbVu4KEAoWIFswp2pDPNib5ljaBfYa1gWpx77rAW0PyfWCQ7lMdciIXDfNAmnMtefj+Q7svxNCVjOaeq0uVtoWEUnASOu1CMgti15fYDfos1dAuGDL3MpDL1Dn6JqDznB8KlNB8wYKiS5cl2uZTQpfkeA6+oEsXdc3GKSif5v7jihoqEWl6sZesciyYRnHXPJC4PqClIEwbPCe5bw9RoF14PkCz8bEWMdHHkufq2RYoRkIppOKkRYH1hmRIEjppeiC/f7ECNmASlqdqaJuwfFfcLWqnBYWIFswEvP98l0IlC/o2tW+TJyqR0JAnGvMEpYSU7yeNqakU89S95G4FJ9ZDk1N6I0Q/a1qBnMWbti0CMWtNUo1FTBJBGdqLMkVCUzZNQN1nty/wyAPPD5VuQroa2vdVjCS9p3QbdTqx3ExT6yYtJN+WHKbqEWaJeVdDgUJEC+YQfeSE9mF03yfahs95B6ewjY+pKRU5i35KSSjohoui7ubkS0uqYIqQtmn5OEgFvJCzKqq1RiVUghaS71Ko1OfNzdBpP9YwvEY020ZzhsA8ktFFIKFAyREtKBhjqIuadjGPXeS34RrdmDTkVsmnLv7WRP8+MA/h6lli2uQ0fJYsyqdUAJeDFCHLIWwBbZTNVsdEOgDlIuYXyjHPRUomb+JMf1ANQ12LV7av9a6G1saYI+I3T3NJ4e5eBQruWqxs0Pwg+xeWX4z77MssIZABKymloIqTtkDMQlHoy/ty0SCR7lwi3rbIi970iA0Q/HJDce+KtS2nqp6xx+YdbchoDEMVKKXC8rV9I04cKYT3UbrGrO5sqD8a6uH3ZpSm78hN3/mh80AA52EOOSih+YKCBUQqN1Rb5LUFoOvFXfJcxdES9uZX4JkJZqkA87zmIfNBKfrsupNbUT3r3NB5Rk5+qKSGRivmW1S+85vicE3KJaMrm1tY2djCyvY1LG9u10SHHCwamQtYxHkXRbRgYTF0gdMQ2Fo/H/9ooDmgW+vnDVVUQoyE5qihfYTl6VyGVowXBX0QUKsaGiOYqc+SlH+ciy5K56IU1N3ePzUpo5Jl05AIn7OcIqVcNfTKxnmvJHRlc0MloX0h1WO+b8yKDC4iCQWKIlpwF2DIfr99IBQktSFtOfl7uZZNKxtbOD3cx8rm1uBtPS8yhiKhlFzE1C2NVFg+b7P0D50V+g69U8R8Q4fKD7VUyscQy0GPheU52qQB9Xnt4d2UZmHZNCQWcc4BhYgWzB221y731k2JY2XzKk73Hh9k7BQsKmhXWNVQCjH0ZTD6p/Yp9Pw8PKn6pGb2k19EdCWhQxj/p6zH2hqYd8WiqKGLhJx87Bw3Dg1cDW1HPkNIfqv2WwJvPWw/x/AK6TSr6BeZhAIlNF+wAOjSbz6G5U3qKzcb66JYRf3WehUCo+F5qStTIAcxEqqpofR5py7mK5tb0X0sRKLhW5kgWpfc0kJW1red99by5dqPhpQamkKb0LtEQvlnrk1YfnVrxfTZmVbHnUUlxDwsL5HQLr6xuf7EuSR0ZXOzQULTxzSvSTQ/tLn/xTORX3QSChRFtOCCYd78QwO6hDjHC8DRdAiZpIY2Lvabmzg9OAAgd6K6snFe66fNVdEdt4qbvsrxDQtnTB3lpG7ePDlTpLMvZTMVZs2pfJeUUU0NiymhQ+eEzrrlIwefc5dQvtTpqg2Snz/hZoWS0JQaqoXkKcL7lENAk12QRulBbWEtVBqqy9E8eovOIwoRLShgGLrSNmBrvU7WAsJicGXjvBbq5vvThaIvNZSTUGkhkPK2KBkNc95aP8fBvl1xyQnVS8RUWoyHJqwW1bMrCdXCq310RbIooxoJnUZR0qxIKHeBoNuniUtuKeszLKmhVhJae9zYLji8HnE7prxoE78WxdKEwrUptg8vVOJh+UVutXkR1FCgENGCOcdQYXkLUkpHmzaf4aJOq2nF/vNMQb2ycY5bh0vidg5LqGyoVAS+gG+u+LGFU1B/YsqPRR2VoBHCsL0tIW0bXu8CS15fjIT2kW88ZJHSoqigbUgnz5EO39shoVXKA2kSSiE1MLBYwlF0ucbQqIslR13bTwrL80KlGPomd0OooheFgAYUIlowlxiyYCkXQ3gDUmIpqaIUUgEQfzyAL56WBV1SQ8OF+3Tv8Wh4TCpYioGGIml4vrEfW1S7FjW1IaQ5JNRCPinBlJ53ioBquaB9+4H2SUKHVD5T/eXnGbR1rwZLhED6jIbPkYWEdrlpiamhOSR0Wp3cpPzQaamhfZHRi0ZAAwoRLSgAxvmOQyAs7JaKY7rv2pYbK4wV2WyqqRSxRb9tgVJjHEJKaZ4o0AzP3xpxA2nRDapojIzW9idErwsptYQ6rQTUqnxKBDOnmjlWjNQXsdDIZ5cq+UVRPmeNtnmi9HMaK1Ci56GgnxWrGmq5xmgk1FyAJNwQawgOKNJ+qfzQRQrJX1QCGlCIaMHCYnut31aRVFXJLUCQLIq24ZJWOFQV1cgAD3eH41IkIUep0C7+K9vXxqoo33dinVJXRcN8acESJaNS4RIgq4QSckPfnLjSBZySUomA5p6rj/allip4SQW1ktA+FM9UmHZIEppTDCMV0vUN/v2MRTCs6TzWGzQgHZJPfVa6hOR5gRK/vuTc6Dby0w3hdGkfGpZf3tiuX8+mYNukoY0qetEJaEAhogVzge211UanpFnmh7ZBuODvu7PGxV8jjVLuJ1VDpSIgCbGQfM4ikZNLVR+rIqN84acFS1wZ5epPjMRZF2UJMTVVUz+7qJ3qPAg5kFSvHOWTQyOhXTwh26qhKRLaRQXVSGhuiog2l75IK/2uanmisZszCimtRMoLlULyVhJKoZHQnJzZNpGW2v8tr0OT8epqJw/Lz0oNzSGjdwsJBQoRLSiowbIQ8bzOBsEiF3+++NMLu0QqxeKjnQ0Ahw1VVENOXihAqlPJxT+oCmcHe4lxJuF5SkaBQxzv3wFQV4HCa0ULl4B0VxmJ8Gnk1Jp7KoX4Ux2M2kDM1TN6f7YloMBsSGgKOSS0jRm6dk7pey3NJWzLJaRalX1X0DzRWMqI6BmakbYhpQ9pJFQzrc/xAI0VI3ESKvmBtoFFDZ0X8jcv85gWChEtKBgANCyvGc4H1YSH2nNscVL7SmpoqjpVqjiluVg0VH96sD8e+/TgoKZMhbzW/aMlkYxSWAkpRYwgWohrSvW0EtA2hvLqWIbCo1QIvkufeED3jJRunAJBCSRMUs3i1j7TzxG1kOEhQvrhBlb7LlhcJWrjRayaUiQ0dZPSFwm1Vr+P9xduhnMR1FCtvzxXQ6dN+lKq6N1GQoEIEXXOva6H8V/vvf+PPYxTcBdACs9PA9wTkyobbSrm2xSM8MU/hOW5ygicRueUWmQ1tSIsAPziv7y5jbODPTFvtDk2M7nf3wUgL8CAHI5Mkbou/bhTVevSfhqy+3UzYiC2PFVIqPXzpBHQHDU0ZVx/vO9lM/MWVkfTJKGBWOYosql9OVHNyRW1wKLsWzpsxUgohXQjHCOhMeQSUGAYErqyfS3aTWlWpE8jo3cjCQXiiuiXdxzbA3gQQCGiBb2j70KlrkiRBU255IuVtF8q/y3lG5oqUNLysVY2ruL0cFc9bzV209x+TJ63VsbheU5GaYgekImZhDbqo0Re+1Y7JRI5roQWHusScqdIqZ8x31mat2g1rc/NGZQL5roTUPqZ5qkhOXPpgpwwPs8TTUUIKCz5ylpeaIqE8pB8rhJa/c16w3dQQYE4CbV2SmocNxpznirl71bSKSF1JfkBAD/YYlwH4E9bHFdwF2F7/TL2jup5erNSRdtCq4KlveK1biRBPZEe1y/8uiqqdVCabLOH5OkFP6iijfFGVk5h3BCmp5ZO1MZJI6NAnMh1BSeTprBnDzmcUng05R1pzfnMhUQ0U3mgXTonaeibhIb/h7Rfy0HfqmgMqeKkVFFSzFbO2j8+l4SmipAaaUEtiCNVQ2MoRHB+kLra3vTeP9RmYOf6v4gVFCwCYoShpjIIBQ708ZXNjegiW1MvDG08x9sEqyaNhAZVVFIpeHg+qKP0nLf3d8WqYUpGAYgEratRu0ZkNWLa1TCeLvz8+YTHYs9XIqFtyWdXi6Yh7JliJHSoTl8WtK24D+D5pLHCJVromCrii/ns9kVCKTSv0FbNBlpUvfdJQsdjkLD8PKmhBXXErib/BMBvdxi76/EFdwEkVTR5TCQsv72eb/lUEajZKCoiGW0s4JvjQqAKlSoajrfAatVUU0I3tnF2mKiaD0VLY5P7eqg+hOdTnaQkEpZSD1PQCKQ1L7VL4VAqtN6H8mklmzkV8Fr+Z9eKcN12abYEVPq7jy5N9DXrw1eUIlUhHyOhWqqGREIt4fjqb9YbfmASqhUh1Y6fE+/QAhvUVcx7/390Gbjr8QV3L2YdnrcuIgF0MaHm0FIBUuq8AUENnfzfVEalFns5amhAWAQ4CZ0c08wVDceMq+kbhHSzVj1P3QFoiD5AWoxTZK4tUY0VDnUxiu8DVvWqDWLV76kCJO2zK1WXWxW0Pkkov1lLkcm4Omsbg8JSZW+5GdNUUQlShXwXEsqfD0VfndkotFxQjYRaCCjQjggXzBYLbd/knHsGgC8A8JkAngHgwwA8DuB3AfyA9/43I8f+TwC+BsDHADgD8A4A3+u9/2Vl/2UALwXw4tG5jkbneZX3/m3KMesAXg7giwE8GcAegDcBeIX3/o8zn26BgKCA5qqqXWHpEW8FVyHqF/1mMRA9xkJCY73kpcWAXvCDKkoXB0pKpQr6SYh+VMyxv6uS0QBNBYypRW0IYk4KQNeCIX5zIj2mjdFnv3egTjYsuZ85ofe0U0O3XuTymJPPsvT9aEMmtTGs4/QRorcih4RKn6VYXqiVhNb2UdTQ3Op37Wa4DWLV8gXzhYUmogD+GYAXAngXgF8FcAPAswB8DoDPcc59vff+h/hBzrnvBfAyAH8O4EcBrKIii7/knHup9/6H2f4OwM8B+EIA7wbwwwDuGZ37Lc65f+i9fwM75jKA/wrguQDejqro6yMAfBGAv++ce773/vd6eRUWHDnheS0s3ybE3zckwqEt+qmKW04kG7mX7DjLYjF+PBKSrymhmk0TyRsN1k5UGQ0FTGMrp9GCLJHRAI3UtyGoMVhSAKx2NynEjos9ZiUOFFLnHstxHNZUj27dkQSlvoOypt2s6fu3yHkUjpHIqaaMSpEV6WZWU0Vrx/VIQnlIPoeExgqU2tgvdSWh9XD81dFvuVq+FCrNF7KIqHPuPgDfAODZAO4DcEnYzXvvn97D3Cz4zwD+hff+HXSjc+5TUZHA73HO/Tvv/aPkseegIqEPAPhE7/3jo+3fA+APAXyvc+6XvfcPkiG/GBUJfRuAF3jvj0fHvAbAbwH4UefcG7339Gr4jahI6C8CeKH3VX8259zPA3g9gNc55z4ubC+owxKe5/mgbfJDOdoaWacu/lruFT1fcxHYqv1dy71UiECbxUIjoeP9LLmio/2D2X1FRqu53L552FCHeAFTTAGUSGpbcpiTAtAlV7ONWh6zWkqB70tfW2v1e8qMvs33Qquyrm/rhxRI6StdC5Hi55NV19p3OvG5D4ipoikHBysJ1RoVSO977H3L9SJOgYfiUyS0hN4vHsxE1Dl3PyrVcQ1VpcT7ESom2K69zMwA7/1PKNvf7Jx7E4D/HsBzAPx78vBXjX6/OpDQ0TEPOuf+FYBvA/AiAK8gx3z16Pe3BhI6OuYPRsTyS1ER1R8HxgpqOM83UbLpvX+Dc+6tAJ4H4FMBqOkDdxOmpWieHsi+mJPuQP0sWhqJsIQx1fBXLRx5SLZrpFQvUIp69Qnm9WFxCISUq6Ix0IWZ9+AO0BQ9oLmgdkmJsITJ+X5twuSpY/hzoPv30V5Tyk/WwsTWbki5KqhFeeyLhFqhEaxpFitSMmpRRSUENdRCQqXPUywvNIeEtjGur46z5YG2IZ0lJL94yFFEvxvAMoAvA/AzC6Dk3Rn95lff549+/2fhmP+Eiog+HyMiOgqxPwfALQBvVY750tExPz7a9nQAHwngPd77P1OOed7omEJEjWhrYn8nYcreJ+gCkAp7Bcim33UlMxQB1feJe/qNt0eqWaVOJJPxrjaIOyWk3NqJhuknLUAnnZaAw3GIHqgXzWjkSyKoXfInc9TVtlXpMVKdGttKGihixXS5BvRA/8bvAZpa38/YenheU0VTxYD2czeVUUkVTRU+SqooJ6O54fjU54lfm9qS0JQNnAV9k9BSLb84yCGiHwfgZ733PzXUZPqCc+7JAF6Aijy+hWzfAPDhAA5ouJ7gvaPfzyTbPgoVAf9T70UnbOmYZ41+v0eZonRMQQb6CMPHYLWs0YqWcnKvwgIW1FCxuGgU7q72k8Kb9l7PUpU8IOdYhe08V5QWMYXiJTFnlCnN3JEgQFug25C8GKxh9C4KZWz/nFxOa0jd8joOgZyCoGTeckRZ4zdhfF/pJq3NfKRtOeSUE95Ymo+milqbPbQhoVpjDfm5xG8aJBJaf3y6JDTaxrP4h849cojo46iKgeYaIwXzpwFcRhUWpyto+ERqElnYvjODY2pwzr0EwEsA4CPuu0/b7a7BvLX0pOBktFoAnImESv8D8sI8URknC29sgW9TJV+NebX29+nBbm1haFTJK2SUznVcQT/KFwXQ6EDDIZGqrmHrHIXVeq4cImgZM2allLo5klS3nD7wsZacWjpIu+KfeJev2r6Gx+u2YU3y2Lajk9RKNL6/rL5Kqqg1RB9DHySUq6E5Nw1Sf/gcEirlg6ZIqCX0HlNDS6HS/CGHiP4yqpzGXuGcexCVtZEVP+29/8fKWMsA/i2qIqGfB/C9LaeVIyuEb3ivx3jvXwvgtQDw8c9+9vRkjhli2pXvydxGY0gNaJKZlL1S9X990aRqaAqxog++cMfCZjwkz0Nbpwd7jRA9zRulOaMAGnmjk/afkxA9DVkCOrnii2cfap9EBDk5TS3iMcT2Tc1fdViI+HlKr11sDppbg1781o1wVsfZbpbmHVbFlJLRVPGjREZjhUt9K6EpEmrNCc0pUIoVI/VBQgsWDzlE9JsB/O6ooOebvPd9lSI+AOA4udcEj0gbRyT0p1DZI/0CgH/svedX/rCaap9mSclMHbPN9mt7TAFDqJznaigNy8+DbRMF7S2v5V1V2zZrv2uPJcJeAFdF7epStU+zSr45v+3x70BGq/PujuclFTFFzztaoDkZkhQ7C8EKxC6HKOaorG2qzWOKZZve7dYmCCmllBNNSx5oH33h5XFtfcnbjBtszmLqZd9G+oBNLc25seUh+pilmEZCU6H4dOFkXji+2qe9BZMY4m9BPEtu6OLBTES99x90zn0WgN8D8GXOufdAJlLee/+CjHHN+2pwzq0A+BlUJPRnAHyZ975Rbui9P3TO/QWAD3fOPVHIE33G6DfN7fwTVIb3T3POrQh5otIx7x791nJApWMKBFhC8kOSUS1XNFW5HSOhGmqEMqkMJMKVirG0FDbjaii/kAcySvcJ4foQpuc5o2Jv+lHnG6oWAbItUFflT4MlBSAnl47DSqpzx0n5zmqENGfuFH2R0BzSJ33mJR9b8VgSng/nTZHDiVqfn2PaHItHN+KqqCVET8koRd8klKuhottGhITGbOAsUEltD+pnyQ9dDOTYN30sqgrv8Kn5eGXXqYaRnXOrqBTQzwXwbwC8KFHR/0ZUVe6fhUmVe8DfJfsAALz3J865t6Gqcn8emlXujWNQqbzvA/BM59xThcp56ZgCA7gaSv+mZHToYqaA/aOlRqV8uOin+mtL3WFWNraiJHSceylV0Se6m0hqhUZCwwU8OA5QMhr2T5FR6XlLbRgtXpUW1dFKuvjxlpB4DFaSGJtPbB/uOzs+TiHwKeKb663Zp8VRzFJM3N9YtCI2XoiQ0ZhHb1vEyKiEnHzRgKFJqAQLCW2Ltioovx7R7TGU/ND5RM7t8vcBuA7g2wH8JIBHJNVxmhgVJv0HAH8PwI8BeInBVuo1qIjotzjnXk8M7Z+CquXnCZoE9V+jIqGvcs5RQ/tPRNVd6QMgXqXeez8yu/8uAN/tnKOG9p87GutdAN7c8qlfWMxDqL2tqX0oUgLSF/hG2GtzKxqqpBZJgB7WtCzcKcWCqgiXNq7WyCiAmjpKC5lo3qikvPKwqWZ7w9HIZ2yp8mnHU+Jm9dQUxzXM3TIfKzRSytVRmXjoJCl1A9Xe5qiZQjIv5uRUHZXIspWoauQ3XFNiNwqS2X1QRbUWsG3yQePz19N8YiTUqoZ2zQGlRLOE4C8Ocq6AnwzgP3jvXzXUZFrgNahI6AcB/AWAb6+85Gt4k/f+TeEf7/3bnHPfh6rz0Tudc7+IqsXnC1G17Xwp66oEVO09vwCVaf07nHO/hIqUvxCVtdNXeu/57dn3Afjs0TG/55z7DVTeol+EylbqxQvgxTpXmJbKqYGrFhqsuVc8nAhALCxqHK+13owcG+uepIXkL21u4c7BflQdpYVMUhHT5Px0oa8TmlRPb/56qspjpv9lLEc1Z7yYjVFqjBRR5SkeGnmUbp7485LcGlLKqGZzZKsgT3fjGRpSQWB8f+UGLyOMz2+2Gp2XmIUZ99MN7W9piJ5Cu/bkkFCpdWdXEioh50Yjh4QWXCzkENHbAB4caB5t8dTR73tRKbUa3kT/8d6/zDn3TgBfi8oi6RzA/w3ge7z3v8wPHimcX4KqxeeLAbwUVYHVWwC8ynv/NuGYE+fcpwN4OYB/hKo16h6q9p6v8N6/K+N5zjW2r9+Lvcc+OOtpjNXUvglrdUE/jRYYhCIlevHnF3hpEcvp0xwu+DV7JEMOXQ4JDaQzhLACGaWP3TncramjkvE9PS+dJw2DSgqbpad3X4bruUSz7X4xspdbNBQjj22U/LgyGgnXZhjAWxss8M99ytVCOxf/njXJaLe+9hJS5wT01p9a8ZIUom8Tju9KQjms4fhZk9CSH7o4yCGibwLwSQPNoxW89/d3OPYnUaUYWPc/BfD9ox/rMUeoOjS9IrVvwQRSeN5KLruSUFrZbV3UeXiMtunkuWjjvyWf0O1rUTUzoGaPlFjMLcVJAZyEjreP/qeElKujPGeUq6I0t5UTc054pH7hHJYWp1bIXXdy21nG8hH1sdq0lOXjxUzUrUSXNlWwzyP2nPMq00V/W0P72PH52OdLIoZDok1nJ42MWiIv4ZqTWxmfen+161JA7PqSW6Q0mVNEUe1RBS35ofOLHCL6TahCzC8H8C8Ea6SCuxjzoooOjbAAhIWi0dPbsvAn8uOioa5Ij/dYZbzUwnM8pnKxDzcDgdxTQsrVUY2MBtDc1on5uKwUp4hptY9VpdQJiJQaYB2jKrrinovpczXHtpHsWH6mpaNP+jn27xHaB1IqKc+dnswrXYBESVeb7kyN8dg5pRB940YhQkYBuQGDZjdmKUqqz7d+s5wTjq/27x6SH4qEFjV0sZBDRL8VwP8L4NUAvtI590fQ7Zu+oo/JFRQAssppUT7vJBai5c3taGg71aKPgoflATmMFyOhWsirRuiUHu+5JDQVkqeKtERIuTqqkVH+3Gp96BkhDZiWmtVlXMn4O0Z8tHPlkuxU5yDJiaANpPzONpXllrB8lhl6TwpZg3TxzyT73zxuhIwGWMkoUFdHY4VJOSRUem+7klAp7Yej0RijmNMXjJBDRL+c/P1UTPIzOTyAQkQLOmEW1fOWRUMCD4/xDkk53UhS1adaj3e+T2PcCAkNkEgoBSWkMTIqzSXMtdaHXlnsU8Q0hZwcQFvxiT4fLfXCej5LC8mU8pr2y+zLE7SbzdG0uyjJIfq8dqJtVFPtdbJ2XJLIqLQPkHZ5iJFQdf6pyvYICW3sy8imlXxGW3Sy4knt8dq2Epafa+QQUY14FhQAiIfn2xLLoSvlV7avCURIzumKdURZ3VrB6s5G88KfyLmq7yuTUN7nXfPr1EJlEgml0MJYmi9rKAjjofpJ3mhTFY0VWkmvUd2cvP9FJKQItBm7z2IXrp5V2/LskVJV2rH9tce1+bYlo5abMf75lbxoLefhn50+PELD2BJET19WlCe9P7F2t4FoStcb1fc26dYht+9MdUyKvUexa1VbWEPy9JpTsNjI6az00JATKbg7EQjOLL1DqbVQLmLdfWIkVAulp0JcvBgoZ2HgfeQBPSTP3w8enqfuBFQdlfrT08IlrdCKp0i0UqIyFTfrOfi4NaLTQuWTSLZESGtzSITHNbIT8wTtw6A+hq6tPLXGCBJo6oc0j77IqARLGD/lLzr+n/mMxq4vKY9QqTq++tvmQZwTjhfHywi955DP2P/iMUUNnXt0c4YuKOiAVM/4WfuGUsQWCG7ZxM3pre02YyRUaq3JK9PjBUntSOje8W0Ak1arlJByqywpRM8Ll3huq/Z8KaHoI6SrKTUxVVYdq+N8JAIctfhKhP815U08d42QSPZZBsLSNUQv+N2qaj61AFNIaTMyIPjzZtgTtYVVjU0Vl1m6Y4VrToqAVv9HFG5jzq6FhLZVQy0ktBQfXWyoRNQ596EADrz3t9oM3PX4gouNaZNMqR1cG8TCYmJlamZfZo2A0v+1ynTpeD4GJ6EcYzI6IqDj7QIhpWSUmt9rIXo6V96PvlH1HCGmjefXIRwYU2Ut+7Q9t5Yn27S2SpMmLQxc3yfuCSqNOf5bIHaWOZn3NZIMTkrj7hLpOcd622tNI9Jz1MloLIUih4zGOnG1IaEUlmKwPsPxhYQWAHFF9FEA3wnglS3HfhTAdwD4Zy2PL7hgSJHPPguUUhXzGmg/dEthgbQoWHu+55BQyUCeL5aaPygfo9bCU6qSZy9Ei7sAACAASURBVCSUYu/4dpKMhnNF58pULGkBjCmmMeRWVmuerBL6akmp5clqTgKp8G+9RSUlPP04DtjVvjjZ6e31M5AT6TVLWqfRVBbDTYp23r6UUYC0as30CLWS0FQ3t5hXaKxCvrmtXsw4DRJawvKLgRgR1ZNTbHA9jFFwl8FCRnPU1Gkkswc1lFbLW0lo6kLOL9YSwZOO48cExEhoIy/0mKVKrI3yQyNkNJxDsnSiz5vnt0ph176segIk8sKVWUD3qpQe449bwckvJaSNsPJGOqxMCSxto5pCqrKcnztFhKPnEsK/VjW0C9paMdXGiBBoMS9Vea2aXZ7SHrC5lfHNc6ZJqHhcT4VJpT98QQqpHNEvd87d33LsYnhfMBNY1dBU15ZUBXIsREah2SulwugclOBRjHu9N8L4zJ7JQEKDGspJKN22vXa5FqqXCpckMgpMFm1KSAGdJFrRltCE41LqrOUxaSzLONxJgBInaz4jbxSQY1tUV1MT3b+EhgSxOY3/zlG0mW9uDmIh9ZQa2hbaObX3pA0ZVc8dMaoP56Xz0ZBjVg8kCKwQyWmDEpK/e5BaSZ8y+ikoKBDQCI9tbKmhrpWNqzUSau2vXCOQSkcj6TiKtiT0xtEkTH/P+ur48Zg6qpHR8LyBJiEFmqSjLbnMbTUouQ9wMhkjmfxYy7w58T1jxV3VODKR4+kYUTU1J1dzoIIeK/GT3je+LUZMw+vIP2Ox/Wtjd8gjt55zvL+BjAJoqqOZFk3j7RkpErGmGLFji0F9QVuoRNR73+wtVlAwBXTJFW2bG0qh+v6RAoJ6pXw9LA/EFQZTLmKiqEgkeQkCCthJKCWgATeObotkNIyTqqQHiHorLNwSEYkSjxa9rSVCx9VZQCeT2vYcwsTH4S1btdzf1P9BTc3xR02lAojzaVG8RCGF5a3vpfRehbEaNw+CUhnLh+yDmMZeq1TXJSkCEyOeKbP6Nl2T2pDQIQhoH2poyQ9dHBT7poKFQiw/lJPQofNDc9so1i7om1drBUiT7c18TumCyhVHDo2AAlIuaJyE7p7cwdXLl8aPcTJKVVF6Pt55KTzv6jnXCSkgq0k5ZDM35Co1CqCQrLEkgmlR8iTQtARua9UmfBxIkJUojkPVlCwppCW3inzoLkpW4t8lDJ/KDdbQNxkVz6F4hE625XuFpkho8xy2iE5BQQqFiBYsBGbtKSp1QQHqaigNy48f52FbISQfbWenLCiSXZKltZ3UQ56CktDdkzu1v1NkFIBaRR/mNlFv64QU6C93L0ehyVVotYU5ZgWkgRdu0ZatqYIpTb2jZFSCSjgNodtUGoBlnC5qaF9oU1wWO0YiqdFcVQMZBWAkpGnrLTondZxMn9Ahw/AlN/TuQyGiBXMJGp6fFgm1+DHGjKQDlje3xQs7JaErm9uNCy5VcC9tXBWtlWphb0JGJVhIqFacREko3UbJKDDJG6Xj8jkCqNk6AU1CSkHJaQpdF0R6vORCcLr3eFK1tVgBSaCpARoZtYSQ6bagpqYKduj8crxRtRzWFDQil+zOk5l7KTVL0ObRR0vRMGaKjKYsnaTrjaSO5lbI07nwOWvow6w+Rw2dNfHcvn4vAKjtqQuGRyGiBXONIUmotoBwWMNl6nlGJHQy3vaYaNJ0gpS/J/0/9rpIKqqFhAZySUnozeOJqfbO2sr4MU5IeYhemmc9RE/M7bmZfUty2SUUyG2mxmMm8jPr56+T2hQoyeItWyVbqTYYwhvVGqaPFe0BeeqyhZByIh+dm0B+clwPOFIEuBo/njKhkdHY/vX/012T6Fwn++V93xahKMmaHxpIaPi7kNHZoBDRgrnFrMPxqX7cISwPYByW52qolBcqEU4JsYItMfydIKD0/xQJpQQ04ObxKXbWVsb7BTKqzU2aJ636D4gRSK0jVhvSKSkvlBhLDgTN+QhV86J3q30cqWUrJVWacif5sPLK8YDc0HKqwUDfMHtSKoSUt7uNjpGyJupISHkjhli+KICkMppCjjNCiqBPOyQ/azW0YD5QiGhBAUGsj7bm76ctBNyqqVaItLmlhtwB3WReIucWAlobk3VOSpHQmydnAICdy8sqGeWFSzEyCjQXIK2wbOjuK9wOC4i3g40txDGVVxuH5qhKZFQ8NqHmcTKUJB9EzUt5qGqV/bW5RPqWS2po28IsCrNtUsZnJbZvjKTmkFHAFqZvzC3cAGuheKNnaipX10pC+7ox7ANdquWLKjobFCJaUBCBtCho+aFUDdX8QkNIfu/opBa+jhFHvo0TvNRxWvtOybSektBAQKV9KBkF6rmilIwCzQKmAC0toS3aLkBcqc1VaKX9UwuzVLQlkdG2yAm/WsPZYZ+clqip81tTHYB0ukNO0VOuVRiHpStYVzIKQCSksa5ZOab1tcd66JqUQt/tOrta9dGwfMFsUYhoQYEBIU80kNCGh19KeSB5oYGEcsIGoEYyAyh51NRGfsz42AQJlfJCAZmE3jw5w87l5ervEWENhDSMSb1F6RxEj1GFOFoXmDbEU1KYaUEVzWOVkFp4pdSD2DiUkHIyqiFGmEQ/TdJIQRqLH5PqcmXNrdbaeFrb20rbcwrZ1Hkpr0XbGwDpNQfSZLQxjtgRi3oa23JC6fnoXKR5W5Hj9FFQkItCRAsK0Mzd0sLztWOIbVM1hqyGShXyAbRVJqATx8ZxGQSUj5XKC6Uk9LGj8/Hf19eXamSUHgNUqmjDzknoSU9hTTWIoW3zA3qslMcqQSKYom2WcQxKSDkZ1ZAiqTy/lBM/blEldZbi4GTLSkatsOYeamTUWkCVUk1jfrHReSl5pTEySlu5jh9XyGj6/HnfmVhIPq5StyOgfauhYVssPz6GmBpawvPTR29E1Dn3pwDuAPg5AD/ovb/R19gFBbOEJWcrKA4xtYeroVLv9hSklpqNfQwkNEAjoZSABjx2dD4mowBqhLR+vnoLUKCp5Gpz7YIUyZXOJeWxAroqm1pQuRNCbAxOSDUymmNhpBHLWq6fYORvIV45ZDRHDU3lHsZcFTgp7cuTtE91tGuYXjyP0jWJnoOen89RHXeAzklDFiSV7kkXA30qok8Z/f42AN/onHut9/5lPY5fUNCARsZyILYCFJWJKjxPq+XD8Xy8av+JGiqR0GAMT8lhrW2mkMMp2SRpyignt1oP+RQJ3T32AICra25MRsP+gYzyXNFGC1AhDWH8nFq+fykSqz3OyXGYA30ttW5WEvi+scVRyouVKvclT1NzD3VCorh/bVtI1fyA3RxetWoyFMDEisikHFsLLMVOKVKrdnMS1NEhyKiGtsb1KRI6q4KkWZBNqpi2VUeLP6kdfRLRpwJYAvBxAO4H8Kk9jl1QMAhqxRfCYgBU9ipBFa1ZNo3C8qFIifqFWkgoz8vkpBSoE0Yt9C2G5hUVVOucJJHQQEA5OBkFJrmivOtSNceJOspbgQL9qKKaojwm7MLjklob82m1LIipGyNJceX+qpqnaYBksJ+jmqbSASRCJ1Xzp+yNNL9Q+h2R5hWbd8qNwIK2PqUcqTB+bjpD7PrDt4X9G2Nk2HalsAh+oW2QW6TUJlRfCqHy0BsR9d4/NPrzzwD8x77GLSgYAssb2+JCKplOSxYptKUnJaG8cxKvkAdQI6HUIJ73eOegCqoU+g7IIaE0xzOQUE5A9449ttccdo89rq658b6BjNIx6fOQCKk1BSFAIq7VmPZUhuY2mSDH1OWUassbBqT254RUI6McFsN9WuzE1VBK9up2U7tq+B5AbUzJXkrzPLXkH+YobRoZ1VTkXPRNSGNkVIzEGK8/2ryj+2SE5PsgocUjtELJOU2jFCsVXBhInYqk4pJJP25S1KG0LpQUirBPMLCnJDS2qNK8UKBeeS611NRAlVNOSOvna5JQqWvSzZMzkYTusb81MkpV0VgbUK2qPgYL4ZRSGGxj1wkyD9XX9lU8X9Xwv7Kdjyt5qwYLqVQoWoMWog6fTStBkEz3ATl/MlnspBCd2PeFzlMr8BoKOWH+AC2vtA8y2hwz3UO+jXl9X+iLhM5LDmgOmSxqaD4KES2460G70UiLAsXp4X6jixInoeEiHAvJ1/w6WRtNCumxWPibQw3FCxXyGgml22LKaPAX5V2XKCFtSxr7hEaQpRalgK3oKXVMbB+twCnHIL9xbIP4TT6bscWdnocXBfGWpAFaaFor3NNIaIy8SDeV/PXJsXeyeJTGVEaNpGrqqGbxFM7ThozG5pgqUIqRULlT2OL0jo+hkMT5RBYRdc7dA+DFAD4JwDUAUtms996/oIe5FRT0Bmt+WdLrj5HQ5Y3thkUT7RMfI6HcqzN0LtIQHtPC37FCJykUT/NCAwmlBHT/qH7+rfU6GQUmBUx0/lJPegCN1ANqgt8GqVQG6/Ex2ykgTTBTjQc0SMVRmpdpW9KlhVi58hvOyQkH9zkFmt+RKKkxkFArcUl5vFoRa8lqJrKJEL6mGvNWrHQ87Sa4EapPWDXl5oV2TWcI6JuAzosa2gdKeD4OMxF1zv13AN4E4EMAuMiucoVDQcFAiC36SYPy0eKQ2zGmnhe63VCaYiSUFwbxwh8NtEJdCn9rhU4pEjqec4SEhm2UjAKoqaPjsYXOSwAavem7Esk2kObD3Qt4LqtGSjlinrAcWncs7mUqppZEckgBIY+UqaG8fey24J9K81WrMffQtkK9Gkeea64dlppuk3hNcufZByGV1NFcMlodk7ZoCuOJ+3VUQzXMs/I5BCxksiiu7ZCjiH4vgA8F8L8DeC2Ah7338ZWzoGDKSPk4du3OQi/2tBCE944HYCKh/G8LeE5pUEglhdFCQnlxEiWh+8eTv7fW6HObkFE6Fu28xNMMcvJgpwFeKBazngLshVOaO0Btn0irVilvFJB9RyWkyAQvrAIqMgpAPS89n1YY1FD0EtXx9Bwx9Usq7ArzGgp9E1I1fSGz+5IGKwltPG656RbGHpqEDqGGzpokFlVURw4RfR6AX/Hef/NQkykomAWoKgpAtFipEVAlJA80VTApJ1QjgAFcYeTHAfVcUlqtHsgUrcyPdUziIflAQikBpQiqaDiG54xKbUClOQ+NWIpDAFVtebqDlHsrqaSSVyvPN9UgVelLofqANgRMVUOFIjBq6E/PzcP2WmqAxQw9l4RSSOroeK6RAq8YUoVPbQhpioymbJ0slfup9p0a+lBDF5GEFsw3clYGB+BdQ02koGAoaOE8TalIqQvUL1SzaOIV8oBenc5hIai8iImTqRhSJFTD/nGlikpkNIwrtQGV5jxv4OkOqWKwmEsBJ6MpRbU2hqCOArLvKCdeWkEJv1GSPpsUqbxVHgZX/U4TZuhtCEc64iHnuMb24dtibgX1seM+rykv1pTHaFt1dHz8AGro3U5CuapaFM5+kENE/xDAs4aaSEHB0KiFF4nfIu/P3ThO6Ms8VkNZZXyAFJLXCKCEbUEVrY6rh8CBeBhcK4yKQVNDYwiqKLd0CtDagc4S/HXTyCiQdifQiF39MyEoqkrbU8nmCdBVSg3cwYHOVbppkUz9ad6qnJ+ZIDwtyYxmpSWR0VjuaC7MhY0pIm5oDGAhozHkhOSHrJTvinknoH2hhOdl5BDRVwL4L865+733bxpoPgUFnZFaqLQ80ZiCILXC0xbUmNpESaikQFKlMYCTUp5TKhUxAbIC2SYkf/PQYWfDjx+PqaLhHNzsPocI94kUAZZIfAB3JgDae5bGYCWjQLy6Xvs8SjdLkq8sBSeknIzayZpcHU+dJVKwEPMwfl95ozlepTFCmnbhyOu+RCGRUO0aZmksUJCPQiz7gUpEnXNfJmx+A4Bfc879LCqF9KZ0rPf+3/QzvYKCfhFTRSVIBFRTQ7mBPFdDUyQUmBDCQPLC/hRSz3dAN8bXesincPPQ1f4OZJTOlc6T+4sGcFJqgURm24ASYI2U8ip/rbo/x24qZd7Pc0gl9c/iSwrIBG+snLIiuqDUAzIJlYz9AxGUyCgQy6+UDfRzSOh4XhF1lD7fHEjEXbLNsuadaoSUh+r59aYNGc0hoW1Q1NCCaSKmiP4EmlZMYWX60tGP9LgHUIhoQWfcOdjv9SIlqaIaGZUIaDgujAU0c+54uJOG5AFmkaSEwIPiCNSJXgANgwdQD08gHpK3pAZQEsoRVFGgaelE/UUDcglw1+M0Ajsm7Er+aspyqg0hzYWmhHJSym2egPqCzskeTx3hBXTjsQVjf0pGx+OznFENfecUxpRi/npQWJTj8FjMw5UiVuCUUkctZBSQCyfFcxqjOWEefL4F00NRUZuIEdEXTW0WBQU9I1bUoKkcUg6VZEETFiapQh6QLZN2j30tDM5JqBT+DvsGSIQPqEhfrFodiJM6HpbXSKikimqQCGkO+PPLQUqNjRVTabm2XQlpTntTTf2jj1MyCsRVRpobKlmJcXAfVToXbi0VC4XzBg/inIT5ak4C9NgYGY3NxQJriD+mCMfUUSsZBfLN6TnatPEsamgeCrHsDpWIeu9/cpoTKSigaBNq47B6iqpG0oyEciuc99/Ya3iFBkgheaBOQjnhq/9fHUO9OyVDeWBSxMQ7M7VVQy2IqaLS+bogNUaMqPKmAQE5ZBTQCSkno9I2Xk0/2R63eEq1GeV2S3ESOiGWkpWYhDDXWpEVJ8CCpVTKmilGQqXtWg4tnVPfyLHKSnm6diWjyfMb80LDufn8rLjbDOwLpoeczkqfAuBB7/37Ivt8BICneu/f0sfkCgr6hmp9QxYHHoqXCi64ykQhKZI8LzSQzv1bTRK1dcWP1cdAWiXSF7AteXhGPEMpeK5qLCQfHo+porEiKys0kqyNJz0vTk61AqqUzVRKIY3ZZUmFTTnKaO04Rs4kYqYSO+FmqX6T1CSjqpeqoMYCMkmJkeSc/FB63tRjEvGVbkY1Jc5ajc/RRh0N6EJG+8wLBaarht7NKCpqHTlV878J4DtRVc9r+LLR4/Pn1VJwodEmXAfUFQtJLdAMuI8SOXd0oed5oTESGrZvXWGFQYICOX7uo/GvrzdVUEnxkoheG8um2Jy083QBHy9GdLVcVSsZHT8eUUh5UVMbNIqWDEb4431J/iY9Hqgb7lNCrCn1mjLKW8dKxUuWeaqPKa1UtXEsZJSj5jSQCAXHGgkERFsGG9VRHoXJJaM5OaHjY+asUn4aYflpdVOaRdcm7ZyLSHBzylIt8kYoViq4SzHLNmragscveGFhCSSz2f3lam1bzHbG2i9dygvNRer4WJjVooZakVJNp4W9EcnfY2R/3iErpbfHpIz+rY7Bwttye9nJGFQN5cVzsdQH7fMdzndpc6tRJEW3WdMFpP+181pD+hw5xCfacnTjau2HY2VzW1UWa7nmCWIokc2VjautSGhqLhcRs27pmcK8z2+a6Lvn3kcC6J7cV1DQEhb/RaAZotcMnaWCC24MLqmhKXA19OTW5J7w8pWKKOQUB0mwqqEawhy5OlvbRymsAuSK/xzkjheeG8+fTamifUPKE41BI2Dads0MX+v2FMgkLVAKSn31Gof3t/l5kbp10WKiWEg8RkI1iK1HBaVUyxFNFXrlwKr4psz0Y/ZPsXxRIC/0HjWsb9lTfihchCKlaaBNCH8Rw/5RIuqc+3a26X7nRDVkGRUJ/WIAv9XP1AoK2iEVptPIKCAbcIuLrEISOAkNi32sIp2SUCukUDgFJaFt1FBKlFOElJLR1DnCnGMkM+WxyvfnkIqmLhK4vVLz8eY2qoZSEjpR2ZtklLaOrY1Pvl8p/1N9jrZIAt1XC923KWaKEWLeYrULGQWa4XrN3gnQ2w6nkEtCZ6mGXqSQ/DQgEcuL9PyAtCL6HeRvD+D+0Y+GvwDw8k4zKlh4zMMdWRsyWttHaI1Ixw6oVcqzAiEt5ElJXhsSmoIWok+poTm5q1yt1choYwwDybQgRnKBOhnlqmhf6CtPtA2k3NLqd9NSLGXXpEEqugMwNryPkc/U9to+ifapk/30/NlU/mgOGp6pRtP8tmQ0lS+aQlcl1IK+KuaLElrHPKyV84AUEf200W8H4I2oTO4lW6czAI8BeLf3vp0LdUFBz8glo+Fvuk9sEaMhTwpOBDU1VCOh1fbzaEhcglQBLdk1tc0NBeRCqnmBVMQlKaPTCM9PA00yKvvaBkhqaPWZDO+noIoKhVxS9yVxfpEqfm3OKbQlo7mItRUNEKvxI7ZPQ5DRNiR0Vn3lCwnNQxfVc9EIbpSIeu/fHP52zv0kgNfTbQUFGqb1ReBVwxw5ZJQ/RsdojMsWUK2NZiB9KbVRQ0x5TIXn+yxQqo2hkNFUMZVFMRXPx8aNjaN1pBpKFdWQyhNta+PUHEcOcdPmClwNpSR08nlsktHr60uiiip1X2ozX/4dsr4mKTI6nqeRlMbyTaOtVSNKqUZIo1X1AhkFoHZ8i2HeKuSniYsWtgbq6+lFfH7mYiXvfem0VLCQiHkwSr256XGx/DZepMRJaCwUrqmh64fA0UZ9W5uiJUpCUyF5SvRyiHLuvGJElZPL2L6x1qgci66KxhTDujn+ZD+JhEpWYhRBGaUEPrxGgYyGNIRAGK1WU1oRlbyv9fmyAqoWBU3i+YWUgxShtXR0ooS0npNezxeVmmvkdkeKkdCLXim/iFg09XIIZFfNO+eegqrP/McDuApgF8A7APyU9/7P+pxcQcEQkEKKYlW8YjMD1MOesQ5GgF0NXT9MTr0T+lBDh0JXa6swhlUtpoh5iUoeotNCKmwtKYi8zSwHV0N5Gki9ih4IyigdM3iL0lagIhE0FiRZW6bGFNOcLlUp9E1GgWb+aC4ZtWJeSWgJy+dBUz1z1NBFIrhZV1nn3MsAvBrAJdR9RT8PwLc65/6p9/77epxfwQJjGl+E3EIEfuwQ7QHb4mijHzLapa3m1hWfnT4QQyDhXWyoZoUUCZ1VoRKFpIQGWNXQQEYr+Ea71qD0hyp6oE5Gq3nkVMHLc7bYXnUhozlIFWNZLOIaj0eLmbqT0bYktHRTmj0sBLNNSH5RTO/NsSnn3JcA+B4Ah6i6J30agI8e/X7laPv3OOdeOMA8C+4yTOsOmoffJWPwxjGCUqXZJeUqfTwsz5HKs+yjt3sKQT1LkUtanDUPJvjW12ZnbWVwEpquEG9/g6WpoRKkGx+qnNeUfZKGEgjk3vGJaa5hvxhx7gPByN9kjk/2lY5LhfA1cJP/2mMkF50TwEZjDWOe58r2tblVQgvmE/OWZ5qjiL4MwOMA/ob3/iGy/d0A3jwqZvpDAP8bgJ/vb4oFdyu6ktEcxbNrL+yA3Z6q0ym6qImL1HGoD1htpLpgHpRQDkkNlUBvjE5uLYFmL4z9YtcmRvfba27sxrBzeXk8bjC6DwpmrQ3oWCVNO05I26kqKqmkOUVNbcALsVKuAJbWorXtRBmNFS8BTWU0twgpRUKHUEN5mkIJyxekkJOt/zEAfoGR0DFG+aG/AOBj+5hYwcXArO+8Yi0BzWMYVZ+cAqF5RCC8Q9kzzUoV7fO9mAcSeuPoduMngPvacssmgFfLV6ooLZ6jZJW+djQXOpxHIpSp7ws/ZvfkTm3e/HkNoZzmINkNytBaNEbGKBkUrZVGimffJHQIhOfJW70WFMSQQ0T3AdxM7HMTQH5biIKCniEpnNJP7NhmL+z6AtvGJLxPdG2hGR1bIaNtwvIXBbMmoZx0cgQyp6mhEnb29aTkQFxpP/qbJ2fj8SkZtZJFiYS2OW5oNL77BjKa0+s+ZhDfB4G0jNG3GlpI52Jh1iIRRQ4R/TUAn6k96Kren58x2m9mcM79mHPOj34+Stln2Tn3vzrn3umcO3LO3XDO/apz7jmRcdedc9/pnHu3c+7YOfdXzrlfcM59dOSYe5xzP+Cce9A5d+Kce8Q59zrn3H19PNdFwTx94DnahuTpAppj25QLSvi0kHPXdpZDh7IppklQ26RGaLmhuSQ0VnQzRH4oJ3S5N0hBFd2/5SrFdKSK0teQfs45GQWahDSm3EpzTpFSenyXHFqaryr9TPZrktEU4Uw9rpHRVL5oDqZNQovyWdAVOUT0mwBcc879rHPuyfQB59xHAvgZADuj/WYC59w/APBiAAeRfRyAnwPw/QBWAfwwgP8LwKcAeItz7nOFYy4D+K8Avh2V4vuDAH4dwOcDeLtz7m8Jx1wH8DsAvh7AA6Pz/T6AFwH4Q+fc01o/0YJeEfMKtS54Ugejtrh8pf/mZG1IGVdF57WjEkcfVlAUs1ZCgbgiWAvHM19bua98hVCopKmi0uv42NH5mORKZDTMNaVgWpXQ2H4xL1IL0bSMq+WZdiWkEvogo9MMxxcCuviYF5Eop1jpp1GF3v8HAP/QOfc+AO8H8GEAPhLAMoB3AviZiuuN4b33L+hnujqccx8C4EdRFUo9AcCnKrt+MYAvBPA2AC/w3h+Pjn8NgN8C8KPOuTd672mG+TcCeC6AXwTwwtDG1Dn38wBeD+B1zrmPY+1NvwvAMwF8v/f+G8k8vw4Vkf0RAJ/V7VkXSGiTE5pzjLbI5pDQy1fOo33mU6QvNyy/td6NjNKcQq7S5hK/Ngb9faBNZ6W+SWibbkra500jaRY1NBQqrR4/jttr12rbg5XTzoYn7231foXXMHiv3jw+rdk6WV6vhno7GiM8dvXypdo+YRtg61g1TaQKIjXPYqm9MCC3AQVQs3aSYCWgxaqpYB6RQ0TvZ8c9bfRD8deF46a14rx29PtrAPz7yH5fPfr9rYGEAoD3/g9GxPJLURHVHwfGCupXjXb7Jko2vfdvcM69FcDzUBHf3xwdszEa5xDAK9j5fxjANwD4TOfc07z3f5r7RBcR/M5r3nzMhsTOhsfNQ9cgdSnlUwvLUxKaCstvrzkTQQ6EMsy18bhAjMOccsmoREKl9IA2yqb0OnVNXegLbVt63rO+asqtjHX5Aurv8f6tc+CweSNkUeNpxyVKRsO8OBlVCTOZLx/DirqXaTcSyl0AqEeqxSw/RUitZFRCV6Wz3yXFrgAAIABJREFUCwGN5bMWLD6squiQa7Y5NO+9X2r5I7cs6RHOuS9HZar/Vd77xyL7XQbwHAC3ALxV2OU/jX4/n2x7OirF9z1K5yjpmE8GsA7gt5myihGRDXm0n6bNtcCGIQzp29q+cMKztT4hRjVSecVHFc9GSDwQvvU8EtoYd73+o2Fnw6uKpbadE8mc47Uc1a21/J8+0VYNlRS7HBLaRw/6AFotD9heo64pGKEKnlfDp5BTZEVhDblTaPmrWh6qyZe0Y3V9QN+qZVFBC+Yds+tf1xNG+ao/iKrF6OsTu38UqhSCP/XeS1e9945+P5Nse9bo93uUMfs6pmBKoItKX51YJuM1FUiqRAGTgp3Ygs8JGyeOlIRKIWdqJaWpomHMQFS4sknnwMPpuaQvh4D2gVTqAu0zH9p7pkzsJYLJlcpUZyArqvaZOnHh4WsJmoH/NIvT5gV9VN1brhsWdTQgJ0TfFl1JaFFDC6aBnGKluYNzbgnAT6IqTvo6wyHhW6XFQcL2nRkcU4Nz7iXOubc7597+2GOqyLuwGDJJWloEcjqupJBDNgIhoot/THFsHM9Iw/aaS5JQaXtMPbXkm1rmK6miOc91SOTmh3I1VHvP71lfHT+m7aMpnNtrq+OfFKyfOUt+6Nb67AvPNPVT286r863IsZaSxtcLouJjasVK0Yp6RvpmrWQWElpAMeSanUVEnXNLzrmXOud+1zm365w7JY99vHPuR5xzWSrfyNrIZ/z8FDn8G1DlZn6l9z6vMa8yndHvnKv0IMd471/rvf8E7/0nXL9+PWPoglmAEh2N9PHwsUbUxsbyAgnVzpmaUwoSYVb3jexjVdvaqnI8vYCTaEv6AlVDJVhJaO4+kzk1yadERnNC9Kn80ICt9eo12dnwjXayND/UevPAK+jb4ObJWe9+vG0IaC7ahuvpNl513icZbXvspY2rhYQWTBXm0LxzbhVVPuT9AG6gMrjfJLv8GSrrpA+gWaATwwMAcsoSHhnN5xkAXg3gx733v2o8NiiR2rdsm+03zWPuOmxfv7eXBOjt9cutuyelChE0XL18abz4Xl9faiz+gQDtHXsxBB4QQuGNUDwrurGooOI8xy0aZVImhuyVwqG+QrrSOF3M+bVjLTm0ISyvoWuonZPJvlNBNEhhef45ojjaALpmptKCo9R+478FAhoet4wloQ8CqhUucQQymipmioXqeUtMjkAoc0L1bUhoIZ8Fs0LON/2foCqu+Q4Ar0Llqflt4UHv/U3n3FtQmd6biWgHa6ePRXXtfJFz7kXKPu8dWUl9/ih/9E8AnAF4mnNuRcgTfcboN83tfPfot6b09nVMwUDoIxwvYWdtJank0PxMTkiBCSmjuZka4ZMIqKTucVJMyag0P2BCmDWLpxwSGqui75uE5kJTQ9uSnhykSOj22mrjs0pzRaXq+Rikm4zwGdpai3fO6hNqGJ59d0IVPj1u6PdFyrOVrKJS/e0tlfWUjMbIqVZFbyWkVhLahXgW/9C7E32JRxw53/L/EVUV+CsBwDknXbH+DMA/6GNiBjwI4MeUx/4+Ki/Rf4fKgP5BAPDenzjn3obKbul5GNktEfzd0e83km0PAHgfgGc6554qVM5Lx/wugCMAz3XObdHK+VFe62eM/uXnL2iJLqpodNxE0cjO5WUTGQXQIKSArJJSBBXLSkLD9hwy2gU5/qT8OQ5JQFsryCQsb8n5jH026H5WJVQio1ZIn8Px54uoodfXl7C1fj4Oxd/c2mgcF5CrgnPy2CVkH4PmJ2o1/m+D8F6n1NFqnzzlm6uiMUunGCGdBgktKOgbOUT0qQB+JbHPDQD3tJ+OHd77PwLwP0uPOefehIqIfrP3/k/Yw/8aFQl9lXOOGtp/IoAXokotGPuQeu/9yOz+uwB8t3OOGtp/7misdwF4MznmwDn3bwG8BJWC/DJy/q8F8BQA/+Vu8RCNYag7rFkgEJ6U+hgghe0DNJKWym+k+0lklIOG7el8OCih4ZDIKFdF+yChXf1A+WsXq5a3WjBpNyp9WjB1QepGIZjZS/mhbVMx2pBP7k3aN3JIaMpAP6WOVvs0Q/YpVTSHjALdckALCtoiVrTUdi3PIaJHiFR5j/CRqLovzTN+DsAXoDKtf4dz7pcAXEdFQpdRFT7xW83vA/DZo2N+zzn3G6ie6xeh8iR9MeuqBADfjCqf9hudc89G1d7zowF8LoC/QmW8XzAFxFQmuUhklakb9UWHE4+wcAbiF1PguK3SBDp5vUqULI5aKJMpYmH/WPEKJc8x8/sUcdTIaJuxONoSUPo+aCS0tr/iG5oiHZyMxvJCTV14hM+fFJ63WDgB+usdwvAhP5SG5WM5ytaboRj6Lk6aNixkdB4xSxKaY23VFvPSsrIgDzlE9I8AfIZzbtV731jVnXNXUeWHvq2vyQ2BkcL5Jajm+WIAL0VVLPUWAK/y3jfmPwrpfzqAlwP4R6iq9fdQtfd8hff+XcIxjznnPhlVvuznoVJOH0PVsenbvfd/PsTzu5tBw/NDhepT0BbpGEkNJDB3XE6mwv8SIY2R0TCv2DxM3ZkUdVfah6PP7kf8NZY8Q8f/J9RQK9mw7JdagGuf3w4h+smcJjcWWnpHLCzPIR0/hHo5D5A6RHFYldEhVdEczIsSmireKrj7kENEfxRVv/mfds59BX3AObeDimBdA/Ca/qbXDt77+xOPnwL4/tGPdcwjVKQypxDrBoCvH/0UKJhVeL7vCuaYUsQfo8SQLvA8rH91zUWJlAQpbzU2N0qSLUVNKYjqaI8EtE3PeCD+2gXSESOh0uclRRbDMV0XXkvREn3f6Y0Ffc9SaubOhq918uLoQw3lSN0kzRqx/vapvNFqnzgZTaErGe2bgJZCpQINbddyMxH13v/sSBV8EYDPAfA4ADjn3o5JBfu/yrBSKiiYW+QqUoEEaGTHQgwfOzpXSVaMRAVVj+bmWYqo+Fy08+vpBBM0ukkZwu+5JDSXgKYIfHjdJOXLWmjURrkUGy4ISn4fqmgMOxseH9yo8kMbbWUHLCRb9LC8BAshVY9NqKJAv8roLDCN6FQJyy8usm5vvfdfgSqc/S4AH4LKmP1voLJF+grv/Ut7n2FBQQ+wGIinjplslxebKFm8vKz+BFxfXxr/0G3ieGsr4x+6zTIf6dyxc11VwroUuaRySBLKX0MpHB8LyedWu2t5xlwN3V6/rCphdHvt7zVZoY35m/L3UXqtpW2aib0W1r+IYXl6M8e7OVmss6ydmNoQszZG8/MSjueYRdpUwXTQ5oYg26TNe/8TAH7CObeOKhS/670/zD5zQQHBEOF5nifaSr3KVUYjvodaNbFUcKQRqZSv4s7aSkMZje7P8kpjvqQWV4BU6D5FQK2Es02IWHrtpJB8QKrISPtsicTUEIptk9dsLViyYmttooby9yo3RUSCRQ0dqnI+eV5DtX8sTB/QppDJooqOHzOqo/NCQosaWpBCa7fgUc6k0UGwoGA+0CYvNJCMcOzecbUYUQJgMd5O7XPz+FRXMTOMvTkZNR0TCeXzYidLLmku+iaglqKkWEjeUuku3ehI+3DUilGUfDstRJ/ytaWweMdS26ba+SPvx7wooRZSaEWt2xPxQpWKloIyGju3REa75opSpMjoUCS05IcWDIHh24kUFBjRhyraIAc9Vc9LJEMiMqlKWw6JzFpJJD8XH0saRyJk45aKkfxWbgUVK7DKQW7IPYVYLqgGHpK32i2Fx3M+X1zlCv+HBb7t51V7v2Ov77go6YofFylJbUDpGNMkodb3jW8busd8QIoIm6rqCRnNUUUBnYzOQgktofYCilyFWv2mO+famq177/3TWx5bcJeDfoCnWUnPLVWi+66tNlSpXAIqHReIZCO8blTzwjY+jiWcD9gIcMwoP4eQdik8kmBRkqXXTMoLDVhEi5mgbEvvE30Nr6457K37JAmVjlXPbUhL0Rwd6FxzPF5njVwymmoFmotAOgMhnZdwvAV92TiVsPziI7ZCLaHpsr0K4Imjv09R+WJeJ+M8CmA6t6MFBUbEVCbpQmhRpWJKB1+Y2ig0Gom0LMg0bzBGYnluoaqiMvKg+ZK2tVWiaKt61h43EvdYXij/XKRyRLvizsF+I+yZq46OPzOEjAKTrkUU19eXsHtcJ6EU1uIka8oI/WxJfre5Ob8x8jdNVRSwheqtyFVFx/tNgYCWsHzBUFCvIt77p9D/nXPbAH4dwEMA/imAt3rvz0e90z8FwD9HRV4/fbDZFtxVaBuqNxFJQ8gVaJINaezUAhR7nC6YvPCkDQnVxpLG0NRYDkpuAihx6OoD2TbvU9zHSEIpeEjeQkLD9kAc+iSlfYxH3y+pyOjmyRmurjlsrflGcVLshiInVzlnjnx+XcHJaKqoq01eNYemjqZU0bvV4P1ufM4FMnKuKq9G1eLzr9HOSqPWlm9yzn0agP9ntN/X9TrLgoKOaHvRU0lIT+E164IZI1Nh8eMqEB0rRcYs1ddaQZOllah2jBV9qKCx/vESCV2UhVJ77/j7Jdl1ba2fJwloXyb2Etmjc9TcIdqG5ftSRi1dlgL6LKAKsKqidyNKWP5iIIeIfj6An5XaewKA9/7YOfcGAF+MQkQLZowhW3w2q6UzrVqOZUU1t4c4PZb/TceKHWMhwamwakCfXXfaqp9AThi+PxI6dEtZq40Yz/eNecnePDkzk9Cdy8smNVQjbFr+c2yOGnKIHiWjfVtd5aBrrmgIi8+KkJawfMGQyFk5rgNI3RZeGu1XUNAL5vmOtzItz1fNttcuJ4/TQugUqTw5y/Z71ldr265evlT70SAZ4neFZrTf2E8xpAfySWhje8R0/s7BfoMI9Kmg5pAMSf2msIbQQ7OCnGYK/LyWzwt9LPb+tYHl+zRNtFFh6U1M7IYmlxBe2twa/0jbFxnzvDYU5CHnavAAgC90zr3Ce9/wjHDOXQPwhQDaVtsXFMwEGoGQFgQpLzClbGhKVlg8tR7ilnB8DHw8C3HVwvuxQiagXdvGXCIbIy8WAipWxid6wUvkkFsuDYkcpTWVY0zBPWvp+xgjoF2q16X5pSzGLOkVAZrHqlUV7SNPNMBmfN9vBT2HRD6lfUrYv2DWyCGirwHwQwB+3zn3agBvAfB+AB8G4FMBfAuAJ6DKES0o6A1dipYCpKIj6/GxYoK2LSApOaULqCWvTVvg6qG/E3XfptH25LWRCCkloxQ5HZzaIqWcdVFApRacgF2Z7KPSXUPbcazhZ1phX9su3FhYw/IStBscOg/A7p3Lwd9Xi+G/pXBpCOR0XIpdc5L+oj3fIFnGGzo1peBiw/yN897/sHPuGQBeCuDHhV0cgH/pvf+RviZXUBBgCcPEyGqXsKm1wh6wW/rwnD8LGbUQUGm8NvumCATQr4JEx7TAmq4wjZCt1EQBGNbkO3bDotlzxUBfd63DV44aqn1WY3nIqfNZ31seaQjH5lTRx+ZhxRCFSwEaGW1DQvlY8xSyD9d9fm0vYfmLhazqAu/91wN4LoDXAXgHqjD8OwD8GIC/M3q8oGAmmPbFSconjOUYNo5f0xdWKZdTHkM/F30slUenPR7Oqy3GXfL9wrH0J4ZULqI1FB9+gGEr47nSCtgXeQuJTZGcFIEKrzd/3WP/85xiuo3+xOZq9cLVjgdsNxipz7w0j6HUUAtyb1z6zvOc57zRQjwvNrK/dd773wHwOwPMpaDgwsCqisWU0YA2JDRnH76/dP4bR7eTLUX7Rtsc2VgYXj1mDqya2pCAVCpH2zB0ysO2jdLXtoI9RULDe5tyFZBeq9Q8+u7olFM9b/UX7YM8ziMBLeTz7kF/fisFBQsMqSK6D1gUUk0ZzSVbpvkQRZAqg3xsa2V/nwu1tQK7LxLaJ/mMmd73Df4cuyqjYR/tdQ/b+g4za/Oi23OU0Njnues8CgoKhsPs4hAFBQOgTWETJaBSAUofSCmkmjJKF2KbAko6tozGS6qBEUVJmkcA9yrNyUlss8hrpCQouJpSlou2lcRdCja6fuZSOb05jRJiBWCWYqDUPFMKLj9ngPUmI+a5qp2fvz7zQkLv1q5LEtoWrRbMPwoRLbirodnzDBWqiva9F0jk5LE8VVXbZhlDOnfKFgfod/FOqW88/7X5+PAqaGp87X0eMgyqNSsA+iNbUjFQW2gEuS0J5Y9NbsbynCkK+kfOjVoJy99dKES04K5CjjUPMAxpsOeP2tSnvr0IJUIa5sItovpY1HNCvm0IORAnoEOR00ELoQyfDUtlvXRM7Jyx/wPazktKAdAr48k+ke/T/9/encdLUtV3H/98ZwdkBhgwEjAgmxE1PiTgMiiCKHFBEYNBExVMJA8RRYK+NIkY0WhiIq6QSDTCYJDHBQO4gBCFgRASFRWIqMg2KsgiM8CszHLv7/njnIaemuru6nv7dvXyfb9e/aqZqnOqzqnTt/vXp06dau4d7RSMNoLidj3C3b7Xe3HnfNmMDOPKvaKjyYGojZyyD6upjv9sFZC2+0Ko/Ku/iy/Q0vxV5jCt+MXVqgxAy3IUL9tX/ZKeyhdzp8vurW76GMYv7qpP2ZlKMNrcA9nLHwCd0ra6Aa5Ypk77adsL2oO5LDvNS9uux7mqbuYT3SrvkF6qH8YyW/84EDXrUjfzikKFns+S/T321KapBaFTeVZ683GLx9qyd7R8DF6vbmbp1TCEbh5aUDQoT5wpPsGr6rCJZlMZQtF6Htpqd6hX3V+xTO17ZDu3cdn7uF2vKLQPKDs9jWyqD5+YjmENRqHajwVflh8/vmveRtLCxTtv8aq1LD360mh3p3uvtHuC1Bbzbz66nF7dmu/Qr3KnftW69+KcD+SUNm1mOWinm3lpG/sqLjuVo5NiObsbBtDdD42tAtTmS/kVZx2o+hjdbrdtOb555v6W+6mfT1Wq+/Pces89ojYW6u7hmsplw3Z3/3Y61nR0OwdqNzevTCdw3Wqaq2leiu3XHI390umSeNVHn7baPtNBU+vAbWrH3eqJVy16RhvHbvRudtuLWdazOqUHUHTxdzvMvaJmRQ5EbWxMNRjtVTDS1V2jJV+iVfP1Stkd4O0v4c/QTT9tesPKzul0LskPonYBVce8bS6JT783e4o/lDrcNNQu+J3KkJOq5266l9G7melhnA3T3571hwNRGwvFG5gawWW/e0ln8jnk/XhcZfP/V63fMOVgBKbX01VWlrJtVfIPo+kGo70KiqbT/g2txlpONwgt5tvqB0uHcaudzlE301f1aniD2ShyIGpjpdi7Wdcl+yrzTT6adkAfT9kcjELnG1h68cXbzycYDZLSnt8ug9H226d2E1KnvFXnpm2eML/0GF1Ov1XaY1/y46n1TVnVHp8708NR2vHleRsVDkTN2ujHGMH2d833PghtlafVl3fltDXcRFXXfgZFr3ukexGQttrWzT7L5gndKk2H4LT91FdbT4/W6gld7cs5taEPvertNRsFDkRtbLSaDLnuG5mmqpdBaLf7e7R3aYo3DPX7i3cUvuhbneviE7naPaGrmL7lsUqm7JquVo+xbZunxfRMlY5XNpVTm+mwptpzWXazXjdBqNm4cyBqRnkwWvcd020fB9rjIHQqmoNRmNp8qb04fpV0o6JKT1+7/3d1rB6M/+y0z+Zg9LHponr7eNbi+7PT3KztytDufPhmpHKj9PdnM8OBqI2VtnPQDcj8dJ0eYTeoH+wte+xmIADtdMyZ0M0NUTOp13Vu9wCGfgWjncrVi3NevKltSj35MzB0oe73k1ndPKG92QCayeCtXxZuM38g6tGLoK2fE3ZX0avArGw/7SaD75VWD2aY6cvWpfUtlKXq0IXKU6rN8EMozIadA1GzAbNw8c4DfUm+3b4bwc1MHHM6+5xOIDloQWjDdM5Ht4+pbV5ffE1HqwCw172hpccuCbi7DRg73kw4gzNeDENP6jCU0ernS/NmVouqU1hVCZqqBIvdTHczqMFn0VYTtneYymgqN6R1yttx3GoXd7B3W8ap6MUl+i321+ZmsU7lMDMHomZDY9B6Q5uPMd2bhvr1pdxpnOewBKDNptq7WXXfVQL4TuODu73Jqpi/13odjD663z4FocMQxA5DGW0wOBA1G0C7774bd91197T2MShfBINSjmaDGnDWVa52vdNV269TD2qroHaqPba9VLX3txftM+pB6KCXzwaPA1GzATWowVKZft0x3+3xZ+I4M6Xf7d1povipzg/brge11c1RZXn6eYm+6vGqDidpl2+UjUs9rbcciJoNgW4/4AfhC2EQyjAsBiUILabp18MK+h2ENh9nque+St5ux+TCYPQQd2tYymmDyYGo2YDaf9+9+PGtd3SdbxC+FOqaLmqYepGhnl7v6dyw1OtyDFt7FfXqfd6PWQLMBpUDUbMRslXPUh8n6V/YtyOVW7XigWldVu5kJs5t3eesilXTHKtcpt1NTJXHpDad/04Pgehk9913A5j2uOyp6Fkw28PzYdZPnkfUbATM1Nydw6rX812Os0aQ1g91tFNz/fpZV3Dvpxk4EDUbeFOefHxAHlk6KHo5efi4n9tigD+dAG5KY0pH4PzPZBA6rOdnWMtt0+NA1GxIuadvS1W+xKbSS+pznHQ6b2XBaL/O8zAFMDPxdztM9Tcr8hhRsyHk4Kg3qjwVyFKQ2WrcYbc32rSawqkOZQFcsa6t7mL39E295WB6fDkQNRtgU/3S9od6dd3Ogepzu6WqPdE9e3pRn89/N3Oi1qHV+Vi4eGfftGRDwZfmzWxkTDVI8c1NnVUKONukmfEJ6rtse/+gMBsMDkTNhogDpHo5eBkPbuf+8vkeb740bzbA+j2dzCjwl9rMmXavaC8L0+Wx69xXXUahDjb63CNqZmZmZrVwIGpmZmZmtXAgamZmZma1cCBqZmZmZrVwIGpmZmZmtRiJQFTJcZKWSVopab2kOyV9SdJ+LfIcJ+m7ktZIejjnPbLNMWZLOkXSTXn/KyVdKmlJmzzbSHqfpFskPSLp/lymp/Si3mZmZmbDbOgDUUkLgK8CS4EnABcAHweuAQ4EtgpEJZ2R0+8KfAY4H3g68DVJbylJL+ALwMeAecBZwEXAIcA1ko4qyTMf+A/gb4BVwCeAbwFHA9dLetbUa21mZmY2/EZhHtGPAEcCfw+cFhGTzRslzS38fwnwduB24KCIeDCv/zDwfeAMSV+PiOVN2V4DHANcBxweEY/kPGcD1wKfkXRlRKxuynMqcDBwIXBso1ySvghcDJwj6enF8pqZmZmNi6HuEZW0N3Ai8D3g3WVBXURsKqw6MS8/2AhCc7rlwD8B84E3FvL8eV6e1ghCc57vAV8EdiEFqo1yqek472wuV0RcAvwnsD/w/EoVNTMzMxtBQx2IAq8l1eE8YKGk10n6K0l/JmmfFnlekJffLNl2WSFN4xL7EmAdKYDsmAfYG/gt4GcRcWfFPGZmZmZjZdgvzR+Ul4tIl9oXN20LSZ8CTo6ICQBJ2wG7AWsi4p6S/d2al83jSvcBZgN3RMTminmenJc/a1HusjxmZmZmY2XYe0Qfn5fvB64n3XC0PXA4KTB9M/CepvSL8vLhFvtrrN+hhjxbyL2610u6fsWKFa2SmZmZmQ2t2gNRScslRRev85uyz87Le4CjI+JHEbEmIq4kjdmcBE6VNK/LYkU3VZiJPBHx6Yg4MCIOXLx4catkZmZmZkNrEC7N3w480jHVY37V9O/GzUbfjIj1zYki4kZJd5LGaz4FuJHHeiIXUa6sJ7NTnoU9ymNmZmY2VmoPRCPi8GlkvwU4AnioxfZGoLpNPtZaSXcDu0natWSc6L552Ty28zZgAthL0pyScaJleW7Jy1ZjQMvymJmZmY2V2i/NT9O38/JpxQ35bvdGwLe8adOVefnikv29pJCGiNhAmj90W+B5VfKQenl/Aewn6UkV85iZmZmNlWEPRC8D7gB+X9KLCtveQ7o0fnVE3Nu0/uy8fLekHRsrJe0JnARsAM4t7OtTefmB/CSnRp6DgGOBXwNfaayPiGg6zj9KmtWU5yhSQPtj4OqqFTUzMzMbNbVfmp+OiNgo6TjgCuAySRcBPydN63QIKUD8s0Ke6yR9lPTko5skXUh6bOexwE7AWwtPVYL0eM9XkW6A+qGkr5GmijqWdMPUCRGxqpDno6QnPh0DfEfSt0lzi76aNCfpn/ipSmZmZjbOhr1HlIi4lvRM+a+QnlR0MrAX8GngdyNiq3GYEfF24HjgXlKg+gbgZuDlEXFWSfogTZ5/KrAZeCspML0GOCQ/LamYZwPwQtLUUjsAfwG8iPR4z4Mi4jvTqbeZmZnZsFOKsWyQSfo1qae3DjsDD9R07Dq53uPF9R4vrvd4cb37b4+I2KVKQgei1pak6yPiwLrL0W+u93hxvceL6z1eXO/BNvSX5s3MzMxsODkQNTMzM7NaOBC1Tj5ddwFq4nqPF9d7vLje48X1HmAeI2pmZmZmtXCPqJmZmZnVwoGomZmZmdXCgaiZmZmZ1cKBqG1F0nxJJ0n6rqQHJK2R9BNJn5S0R5t8x+U8ayQ9LGmZpCP7WfbpUnJcLvtKSesl3SnpS5L2a5Fn6OvdTNJnJUV+7dMizWxJp0i6KZ+jlZIulbSk3+WdCkn7SnqXpCsl/VLSRkn3SbpE0mEd8g51e0vaXdI5kn4laYOk5ZI+LmnHuss2HZIWS3qTpIsk3Zbflw9LulbSn0oq/b6TtCS/d1dKWpff06dImt3vOvSSpNc3/R2/qUWaI/P79+H8fv5Ofmz2UJH0PElfkXRPfk/fI+kKSS8tSTsS7S3pZbmOd+X3+h2SvizpOS3SD269I8Ivvx59AXOAa4EAfgKcCZwBXJ3XPQTsX5LvjLz9l8DHgH8CVuR1b6m7XhXrvgD4Wi7zT4GzgL8HzgPuAI4cxXoX6vPyXPbVeblPSRoBX246Tx8GPgusIT0C96i661Ghnl/I5b8Z+Jfczv+eyx/AyS3yDXV7A3uGJgIjAAAgAElEQVQD9+XyXgx8CLiyqS0X113GadTtxFyPXwGfz216Tv7MCuBC8g26TXmOym2+Jr+HP5zPQwBfrrtO0zgXT8z1bvwdv6kkzVvytgfy+/hj+X0dwBl116GLup6Wy/xr4Fzg70h3i38P+MdRbG/gH5ra7l/z3/GFwEZgEnjdMNW79hPq12C9gFfnN+e3gFmFbe/L284prF+S198G7Ni0fs/8Jf0IsGfddatQ93/K9fi7Yt3z9rmjWO+mcu8C3EsK0pbROhB9bd72X8CCpvUHARuA+4Ht665Ph7oeDxxQsv75+cN8A7DrqLU3cHmuw1sL6z+a159ddxmnUbcXkH5IFT+3ngD8ItfvD5rWL8zv1Q3AgU3rFwDX5fSvqbteUzgPyp/ft+eAY6tANL9nH8nv2z2b1u+Y398BPKfuulSoa+P76j/KPnOaP7NHpb3z+3kif1Y/vrDtsFyPO4ap3r40b0V75eU3ImKysO2SvCw+P/bEvPxgRDzYWBkRy0nB3XzgjT0uZ09J2ptUj+8B7y6pOxGxqbBq6Otd0Jhz7qQO6f48L0+LiEcaKyPie8AXSe+PY3pfvN6JiKUR8cOS9VeTgvB5pMCz2VC3t6S9gCOA5aTyNnsvsBZ4vaTt+ly0noiIKyPia8W/3Yi4Fzg7//fQpk3HkN6rX4iI65vSP0LqZYPH3uvD5GRSUP5GUpuW+RPS+/Ws/P4FIL+v/y7/98SSfAMjD7X4B2Ad8EcRsbqYpvCZPSrtvQdpWOV3IuL+5g0RcRWpF7z5O3rg6+1A1IpuzsuXlIypaoyD+1Zh/Qvy8psl+7uskGZQvZb093AesFDS6yT9laQ/azVOktGoNwCSjgdeCZwYESvapJtPCtDWAf9ZkmSo6t1C48trc2H9sLd3o2xXlARrq0k93NsCz+53wfqgrE3btec1pPf4kvyeHwqSnkK6TPuJiLimTdJhfy9D+hx6EnAp8GAeM/kuSW9rMU5yVNr7VtJVm2dK2rl5g6RDgO3Z8jt64Os9p64D28D6Bmms3KuA/5X0LdKb/veA55LGjJ7VSJx7T3YD1kTEPSX7uzUvS2/0GSAH5eUi0iWtxU3bQtKnSOMGJ2Ck6o3SDWifAM6PiIs7JN8HmE269FMM1GCI6l0mn4vDSR/O1zStH4X2fnJe/qzF9ltJPab7Ad/uS4n6QNIc4A35v81fxi3PR0RslnQn8FTSVaKfzGgheyDX899IwxD+ukPydnW/R9JaYHdJ20bEut6WtGcan9n3AT8Ant68UdI1wDER8eu8aiTaOyJWSnoXaTjNjyVdTBpisTfwCtIwhf/blGXg6+0eUdtCpMEjxwCnk97AJwPvII09uQa4oBGMZYvy8uEWu2ys36Hnhe2tx+fl+4HrSR9q25OCktuBNwPvaUo/EvXOvd7nkQaxn1why0jUu0zuEfg86ZLl6c2X3xmNeo9CHabiQ8DTgEsj4vKm9aN2Pv4GOAA4PiLWd0hbte6LWmwfBI3P7BOBbYAXkj6zn0YaC30I6abKhpFp74j4OKmzaA5wAvCXpPGyvwSWFi7ZD3y9HYiOoDwdS3TxOr8p7wLSOL93kMYK7kp6I7+UNDblGklHTaFYM/4s2enUm9TLB3APcHRE/Cgi1kTElaTAfBI4VdK8Los16PX+C9INOicUAq8pFycvB73exX3NJvUmHUx6/58xxWIN8zOT+9Z2/SLpZODtpDuEX99t9rwc+PMh6ZmkXtCPRMR/92KXeTnIdW98ZovU8/nt/Jl9M3A0cBfw/FbTGZUYhjoDIOmdpLvkl5J6QrcjXbW8A/i8pH/sZnd5WVu9fWl+NN1OuiOyql81/bvxy+ptEfEvTesvk3QMcAPpMm7jxqVOv5w7/RrrpenUuxGEfbPYmxARN+bLF3sDTwFuZATqLWlf4IPAuRFxacW8neq9sJBuJk2nvR+Vg9DzSe/7L5GmPil+KA9Se0/VILXdjJN0Eumz6sfA4RGxspBkJM5H0yX5n7HlVZt2HgZ2JtW9bEx4o+6rpl3AmdP4zL4jIm5s3hAR6yVdDvwp8Ezgvxmd9j6UdJPWRRFxatOmH0g6mvQ+eLuksyPiDoag3g5ER1BEHD6N7I0bkq4q2e+NklYCe0haHBErImKtpLuB3STtWjJ+bt+8bDUurWemWe9bSOPjHmqxvfGht00+1ijU+6nkO70ltbrb+1ZJkHqJLyZN7TIB7CVpTsk40WGo96Pyl/gFpCD0AuANhaEnjWMNTHtPwy152Woc6zDUoRJJp5DmxfwRKQi9vyTZLcCBpPPx/UL+OaQbYTaTepkG2eN4rE0fyX+vRZ+R9BnSTUynkOq+c863RQ+qpF1JPWx3DfD4UHjs/VzpM5vRae9239HrJH2X1CN8AKkuA19vX5q3osadc8Upmhpj6Bq/njY2bboyL19csr+XFNIMqsbNGU8rbsj1bnxJL2/aNOz1Xk6a3LjsdW9O8+X8/+UAEbGBNPfctsDzSvY5DPUGIA+zuJAUhH4OeH1ZENpk2Nu78cV1hAozYkjanjQsYT3wP/0uWC/lGzk+Rrp6c1iLIBTat+chpPf4dfk9P8g20PrvuDFF2bX5/42gc9jfy5DuWdgM7NtiyFTjs3x5Xo5Ke7f8ji6sb3xHD369+z1xqV+D/QL+mccmtJ9f2Pb3edt3C+tHYaLveaRLvZPAiwrbPpDrt2zU6t3mfCxjehPaL6y7Dh3qN580Q0SQnkyy1QMMSvIMfXszwhPa53q8J9fjemCnDmkXkp7GM7ATfffgfJxO+YT2T2I0JrQ/P5f1A4X1L8qf5Q8BO4xSewN/mMt6L7BbYdtLcr3Xk5+SNgz1Vi6QGQCSdiP1iOxO+iX5TdKb+mDSWJv1pEtdxcs5HwFOJQ0Qv5AU2B1LmgbprRFxFgNO0nOBK0hlvwj4OSm4OoT0h/zciPhZIc/Q17uMpGWkm5j2jYjbCttEGkt5DOkmkK+R6nss6cPtDyLiEgaYpHNJT1d6gMd+fBUti4hlhXxD3d5KD264jnTH8SWk6VqeRZoV42fAkmgzj+wgU3pG+lLS0JEzKR/ztjwiljbleSWpHR8hPVFsJWkKnCfn9X8YQ/wlKel00sMKToiIfy1seyvwSVIw+kVSD9oxpM/+j0TEO/pb2u5JejzpB/E+pHmNv0u6qfZo0t/0H0XEl5vSD31756sZl5NmCVhN+q66l3T/wpGkm49OiYhPNOUZ7HrXHd37NXgvUtf+GaQvqUdIH1A/Jz3H97fb5DuO9GSitaQ/kKspeT77IL+A/Ukfyvfnev+S9Czy3Ue53iV1WkaLHtG8fQ7pjvv/Jf04eZA0sfSSusveZf3avU4fxfYmPYf8XNIMEY2/7U/QoQdx0F881vvX7rWsJN/B+b37YH4v/29+b8+uu049PCdbPWs+b395fv+uzu/n7wHH1V3uLuu4E6lH/878fl5B+pH17Bbph769gbnAKaROo1WkIQr3A18Hjhi2ertH1MzMzMxq4ZuVzMzMzKwWDkTNzMzMrBYORM3MzMysFg5EzczMzKwWDkTNzMzMrBYORM3MzMysFg5EzczMzKwWDkTNbKBJ2lNSSFo6w8c5Ph/n+Jk8ToVyRH6yVb+Pe3o+duN1dhd5B+Lc1UXSWYVzd3rdZTIbFnPqLoCZWT9IOhS4CnhfRJzeRb7lABGx50yUawCdR3q87/U1l2OYXEp6XOyepCdvmVlFDkTNzJKLSI/Mu6fugtRsaUQsq7sQwyQiLgUuzT92HIiadcGBqJkZEBEPAw/XXQ4zs3HiMaJmNpQk7SfpQ5Kul/RrSRsk/VzSpyXtXki7lHRZHuC9hfF8h+Y0W4xzlHSopAD2APYo5Fma07QdvyppWd5Hcf08Se+RdHsu952SPiBpfpv6zpH0Zkn/I2mVpHWSfijpLZL68lkuaR9JX5b0oKS1kq6T9LIOeXbPYyjvyHVdIemrkg5qkX5XSedKul/Sekk3SDqu0R7F8ZeNc5zP6d9IuiUfZ2kh3WslXZXL/oikn0g6rdU5l/TbkpZK+mXe332SLpD05O7Ompm14x5RMxtWrwJOJAWY1wEbgacCbwJeLunAiLg7p704L48DrgaWNe1neYv9LwfeB5yS///xpm03TLXQkgR8CTgKuB04C5gH/Anw9BZ55gJfA34fuAW4AHgEOAw4E3gW8PqplqliufcF/htYDFxGOgf7kM7tZS3y/C5wBbATcDnw78DOwCuBayUdnS9rN9I/ntSWewLX5H8/AfjnvJ92vgIclMtyMXB/034/Szq/d+UyPAQ8G/hb4HBJL4qIzU3pX5zTNc77bcDupPfcyyQdFhE/6FAeM6siIvzyyy+/BvZFCkqCNHaxef1uwPyS9EcAE8CnCusPzfs5vcVxjs/bjy+sXw4s76ZsTduXpY/ZLdb9Uc7z38CCpvU7kQLTAJYV8pye158JzG5aPxv4bN521DTPc+MYh7bYfkXe/rbC+qPy+i3OHamj4zZSwPz8Qp7fBO4mjced37S+UZd/KKR/BrChrP0a5xi4Cdi5Tbv+O7BNizq/rWndjsCDpJuP9i+kfyqwBvhBi3PU9j3ml19+bf3ypXkzG0oRcXdEbChZfwVwM6n3cBC9MS//OiIeaayMiJWkHrot5MvubwHuBf4iIiaa8kwAbycFP388UwXOQx1eBNxJ6sF9VERcQuplLnoZsDdwZkRcXcjzK+AfSb2dh+djzANeSxqn+4FC+huBz3Uo5nsi4oGS9W8DNgN/EhHrC9v+FljBlufuDcAOwHsj4seFctwMfAY4QNL+HcpjZhX40ryZDaV8ifuPST1ezyD1ZM1uSrKxhmJV8bvAJHBtybZlJev2I10OvxU4LVV7K+uBp/SofGUOyMtrmwPhJsuA5xfWPScv92gxr+a+efkU0vRHTwa2Aa6PiNUl6a8lDbto5bvFFZK2Jb03HgBOaXHuNrDluWuU+xktyr1fU7l/XLLdzLrgQNTMhtVHSeM37yGNP7ybFJBBCk73qKdYHS0CVkbEppJt95asW5yX+wLvbbPfx023YG0sysv7WmxvV+5Xd9h3o9ydjtFqfbsy7AgI2IX2565Zo9wndEg3k+fbbGw4EDWzoZNvajkZ+BGwpNiDJum1fSrKZF62+izdoWTdw8BOkuaWBKNPaJEe4KKIeNUUytgLjTL8Rovt7cp9VER8tcIxVnU4Rqv1QB6I27oMP4yI361QhuY8z4iImyrmMbMp8hhRMxtGe5E+v64oCUJ3z9uLGpeUZ5dsa2eiTZ4H8/KJxQ2SFvLYZdxmPyCV/bkl2w4tWfdT8l3e+e75OvwwL58rqexcHFqy7n/y8nkVj/FTUo/270javmR72flqKyLWkMYLP1XSThWzdVtuM5sGB6JmNoyW5+UWgZGkx5FuJinroVyRl7/V5bFWALtI2qa4IQfBPwUObr55JZfpo6Qxj0Xn5uUHJS1oyrMTcFrJMTaT7pbfFfhkWTny3Jv7F9YtVY+e/x4RdwH/ATyJdONU83GOYuvxoQCXkGYBOEnSS8v2K+k5eRwnEbER+CLpEv1phXTPIN1ENBUfJU2PdY6krXqoJe2Yp5lqOJcU+L9X0jNL0s9qzD1rZtPnS/NmNnQi4l5JXwBeA9wg6QpSAPMi0nRBNwD/p5DtFtI40tdI2gj8gnS3+b9FxM/bHO7bpPkpvynpGtLNLTdGxNfy9g+Tph36L0lf5rH5PecCN5Julmn2/4BjgVcAP5J0SU57DPA90p3mRX+b93MiaY7UK3NdHk8aO3ow8G62vHmm0dGwmd44iTTl1MclHUGq2z7A0aS5Nl/enDgiNkl6FWn87jckXUdql3WkHuSDSD3Xu+Z1AH8JvAB4p6RnkeYR3RX4Q9INTa/kseEQlUTEOZJ+D3gzcLuky0ltvxMpsD6EFHyemNOvkHQM+ZGvkr5N6lWdJP2IeQ5pHOmC4rHMrHsORM1sWP0pcAcpqDsJ+DXwVeBvSJObbyEiJiQdDXyIFNhsT7qR5VqgXSD6AdJYz5eTAr7ZwHmk4KsR6Ag4lTRh/oOk3sC/blGOkPRqUtB1PKmH8R5SMPR+UiBbzLNJ0iuB1+U8R5Julvk1aUql9wCfL2R7OrAa+EabulUWEbdKejbp/L2QdDn+JlJwuAuFQDTnuSn3Zp6ay/xGUkB3D+ly/3tJd7Q30t8naQnwd8BLSRP130IKItfmY62iSxFxkqTLSMHmC0ntuZIUkH4YOL+Q/tuSfgd4B2kasOeRZmH4FXAlJe1qZlOj8vHdZmY2rPIl6BXARyLinRXznE4KDA+LiGUzV7qpkfRBUnD/4oi4vO7ylMmX7K8C3hcRp9dbGrPh4DGiZmaj53nAJtL4yG5dlceWnt3jMlUi6TdL1j2dNEvCSsonz6+VpLMkBSkINbMu+NK8mdmIyeNXux3DuKzw/+t7U5quXS/pNtLUXGtJY2BfRuo4ObH5aVQD5FKahhhQ/mACMyvhS/NmZjYwJL2XNBZ0T9I43odIUyqdMYhDBsxsehyImpmZmVktPEbUzMzMzGrhQNTMzMzMauFA1MzMzMxq4UDUzMzMzGrhQNTMzMzMauFA1MzMzMxq4UDUzMzMzGrhQNTMzMzMauFA1MzMzMxq4UDUzMzMzGrhQNTMzMzMauFA1MzMzMxq4UDUzMzMzGrhQNTMzMzMajGn7gJYvSQt2H6H/davX3sPkirmmV0t3ayKb6+K+0vHrrjPisee7OLYE7Or/W6brPjzblYXPwOrpp0zK3p+7NnV3hbMnlUtYcXT2NWx51Q8dtpn1XL2Nt3MHLv6yZxV8dgxOVkx3UTlYzNRLW3VfcbE5sqHrlofqh67i3pHj+sNdHEuK7bjRMXz00XamKz2OdRNtas2Y9XqTEb1v9sJKtanx/vrJu1EVGwbYK7EE+dsw00bVlU/CTPIgeiYagSgc+Y+jpicYOcnPItZs+ZWyjt3/qJq6RbsXCnd7Hk7VkoHMGv+TtUSzl9cKdnGBdWP/dD221VKt75aMuZvW/0LYPttq30Y7bBdtXTbL6h8aLbfplq6hQuqfaYtqpgOYPE21QKtHeZX/0Gxw4JqH3uL5lf7e9hpm3mVj71wwfyK6artc+E21fbXTdpNa1ZXS7f24crH3rxmVcV01fa5edWDlY89sbbisSvWZ6JiXaB6OTevrXbOATZXbJ/Na9ZUTLe28rE3PlQt7cbV1X4oPLK6ekC2bm21z4LV66ulW7O5+ufQqorB4GpVi6xXR/UfUg/Fxmr7nNhQKd2mmGTd5AS/2LyeHWbPjd8agIDUgeiYKQagO+3ye8yaNadyEGpmZmbDa9tZs/nteY8bmIDUgeiYaBWAmpmZ2fgZlIDUkciIcwBqZmZmrdQdkDoiGVEOQM3MzKyqugJSRyYjxgGomZmZTVW/A1JHKCPCAaiZmZn1Sr8CUkcqQ84BqJmZmc2UmQ5IHbEMKQegZmZm1i8zFZA6chkyDkDNzMysLr0OSB3BDAkHoGZmZjYoehWQOpIZAot2eko4ADUzM7NBUxaQPjy5+YCIuKFK/moPZbVabdq4Gmk28+YvchBqZmZmA2eBZrFw1hw2xiTAb1XN56hmCKxbc5ck7b9uzd03r1l1J49b+CTmzd+x7mKZmZnZmJuM4N6JDdy7eQO7zJ7H+phcFBGrquZ3IDokIuLHQA5I5zkgNTMzs9oUA9B1MbFo+aZ1lQPQBgeiQ8YBqZmZmdWlVwFogwPRIeWA1MzMzPql1wFogwPRIeeA1MzMzGbKTAWgDQ5ER4QDUjMzM+uVmQ5AGxyIjhgHpGZmZjZV/QpAGxyIjigHpGZmZlZVvwPQBgeiI84BqZmZmbVSVwDa4EB0TDggNTMzs4a6A9AGB6JjplVAumDb36i7aGZmZjbDBiUAbVBE1HVsGwCS9l+wzW/cPDm5iTlzt6uUZ9bsuRXTLahWhlnzK6UD0OyKaSsee6Lq/oCNc6v9bttc8efd7DnV//YqHpr5c6vtc+7syoeufOx5s1UxXfVjz6+4z6rp0vFn9TTd/DnV0qV9Vqv83KplnFP9ZM6teOzJzZuqpdu0sfKxo2Layc3V0sXGDZWPXbU+VcsYFcsIMLmxt/UGiE1V22dzT/cHMLGx2j4nN01W21/1Q7N5U7W/8U0T1fa3abL6Z8ZGqn2ubupxunTsahXaOFkt3SSwenIzu8yex883r+/qUZwzxYGoASBpD+AE4KK6y2K1OBq3/Thyu48vt/34WhIRZ9ZdiAYHovYoSddHxIF1l8P6z20/ntzu48ttP74Gre2rX1MyMzMzM+shB6JmZmZmVgsHotbs03UXwGrjth9Pbvfx5bYfXwPV9h4jamZmZma1cI+omZmZmdXCgaiZmZmZ1cKB6BiTtK+kd0m6UtIvJW2UdJ+kSyQd1iHvcZK+K2mNpIclLZN0ZL/KblMnaa6kt0k6V9INud1D0psq5HW7DzlJu0s6R9KvJG2QtFzSxyX5eb8jQNIxks6U9J+SVuW/7fM75Fki6VJJKyWtk3STpFMkdfH4CauTpMWS3iTpIkm3SVqfP6OvlfSnkkrjvUFoe48RHWOSvgAcC/wYuBZYCTwZeAUwG3hbRHyyJN8ZwNuBu4ALgXnAa4CdgLdGxFl9qYBNiaQdgAfzf+8DNgJPBE6IiH9tk8/tPuQk7Q1cBzweuAT4KfBM4DDgFuDgiFhRXwltuiTdADwDWEP6W/1t4PMR8boW6Y8CvgI8AnyR9D3wctJ3wYUR8ep+lNumR9KJwKeAe4CrgF8AvwG8ClhEauNXR1PQNzBtHxF+jekLOB44oGT980nByQZg18K2JUAAtwE7Nq3fE1iR39B71l03v9q2+zzgJY22BU7PbfqmNnnc7iPwAi7P7fjWwvqP5vVn111Gv6bdxocB+wICDs3ten6LtAuB+/Nn/YFN6xeQfrAE8Jq66+RXpXZ/ASmInFVY/wRSUBrAHwxi2/vS/BiLiKUR8cOS9VcDy0gBy5LC5hPz8oMR8WBTnuXAPwHzgTfORHmtNyJiY0RcFhH3dJHN7T7kJO0FHAEsJ7VZs/cCa4HXS9quz0WzHoqIqyLi1shRRQfHALsAX4iI65v28QhwWv7vn89AMa3HIuLKiPhaREwW1t8LnJ3/e2jTpoFpewei1sqmvNxcWP+CvPxmSZ7LCmlsdLjdh1+jfa4o+bJaDfwXsC3w7H4XzGrT7u/6GmAdsETS/P4VyWZA2ff5wLS9A1HbiqQ9gMNJb8RrmtZvB+wGrGnRm3ZrXu4344W0vnG7j4wn5+XPWmx3O46flu+JiNgM3AnMAfbqZ6GsdyTNAd6Q/9scdA5M28+Z6QPYcMm/fj5PutT6zubLsKQBzwAPt8jeWL/DDBXP6uF2Hw1uRyvye2L0fQh4GnBpRFzetH5g2t49okMuT70SXbxaTuORp2v4N+Bg0h10Z0yxWJ6KYYb1st17yO0+3JSXbkdr8HtiiEk6mTTTyU+B13ebPS9nvO3dIzr8bifdsVzVr8pW5iD0fODVwJeA15UMdm/8QlpEuU6/sKx3etLuFbndR0OndlxYSGejz++JESXpJOATpOkZD4+IlYUkA9P2DkSHXEQcPt195DEkF5CC0AuAN0TERMmx1kq6G9hN0q4l4wX3zctWY9CsR3rR7l0cy+0+Gm7Jy1ZjQN2O4+cW4EDSe+L7zRvy98KTSDe43NH/otlUSToF+BjwI1IQen9JsoFpe1+aH3OS5pEmJ3818Dng9WVBaJMr8/LFJdteUkhjo8PtPvyuyssjik9ZkbQ9aUjOeuB/+l0wq027v+tDSLMoXBcRG/pXJJsOSe8iBaE3AIe1CEJhgNregegYyzcmXQQcBXwWeGNxWpcSjfnI3t38SEBJewInkSbHPbfnhbW6ud2HXETcDlxBegjBSYXN7wO2Az4XEWv7XDSrz4XAA8BrJB3YWClpAfCB/N9P1VEw656k95BuTvo+qSf0gTbJB6bt/YjPMSbpXNLTlR4A/pnyQcnLImJZId9HgFPZ8lGPxwKL8aMeh4KkvyQ9+g/g/5AeCXgdj03hc20UHvfpdh9+JY/4/AnwLNLTeH4GLAk/4nOoSXol8Mr83ycAv0+6vPqfed0DEfGOQvoLSWPOv0B6zOMryI95BP6w4uT4ViNJxwFLgQngTMrHdi6PiKVNeQai7R2IjjFJy0iP82znfRFxekne44C3APsDk8APgA9HxNd7XEybARXa/ryIOL4kn9t9yEl6IvB+0iW5xaRnU19M+lsv3tBgQ0bS6aQnZbXy84jYs5DnYODdwHNIj3i8DTgH+GSHoVo2ICq0O8DVEXFoIV/tbe9A1MzMzMxq4TGiZmZmZlYLB6JmZmZmVgsHomZmZmZWCweiZmZmZlYLB6JmZmZmVgsHomZmZmZWCweiZmZmZlYLB6JmZmZmVgsHomZmI0bSbEknSLpa0kpJmyTdL+kmSf8q6RV1l9HMDPxkJTOzkSJpNvB10iM8HwK+AdwF7ATsTXqU3w8i4rm1FdLMLJtTdwHMzKynXksKQm8Enh8RDzdvlLQt8Kw6CmZmVuRL82Zmo2VJXi4tBqEAEbEuIq4CkPRXkkLSyWU7kvSbkiYkfW8Gy2tmY8yBqJnZaFmRl/tVSPs5YBI4rsX215G+J87rQbnMzLbiMaJmZiNE0gHAd0hDrz4PXAR8PyJ+3iL95cARwNMj4keFbTcD+wK7RsSKsvxmZtPhHlEzsxESET8k9WTel5dfAZZLWiHpIkkvL2Rp9HZu0Ssq6UBgf+DrDkLNbKa4R9TMbARJmgscBjwXOCAvd8ibPwccHxEhaRvgHmA9sHtETOT8ZwJvAY6KiK/2u/xmNh4ciJqZjYE8rdMfAOcA2wFHR8TFedungROAl0bEZTmIvYc0fnS3iNhUU7HNbMT50ryZ2RiIiImI+BLwsbzqBU2bi5fnjwQWAxc4CDWzmeRA1MxsvKzOSzVWRMR/AbcCR0laxGMBqe+WN7MZ5bDUOiIAAADmSURBVEDUzGyESHqtpBdJ2urzXdITSJfgAa4pbD4PWAC8GXgpcFO+8cnMbMZ4jKiZ2QiR9HHgbcC9wLXAnXnTk4CXAdsAl5DGiEZTvicCy4EJYC7w9oj4aP9KbmbjyIGomdkIyQHlK4AXkqZf2pXU07kC+CFwAWns52RJ3m8BhwObSXfQ39evcpvZeHIgamZmZma18BhRMzMzM6uFA1EzMzMzq4UDUTMzMzOrhQNRMzMzM6uFA1EzMzMzq4UDUTMzMzOrhQNRMzMzM6uFA1EzMzMzq4UDUTMzMzOrhQNRMzMzM6vF/we6FzquyC+4UwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbartext, cont = 'Sv', [-20., 20., .1]\n",
    "cmap=cmo.balance\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "plt.contourf(lats, mesh.zlev, moc, cmap=cmap, levels=np.linspace(cont[0], cont[1], 50), extend='both')\n",
    "plt.xlabel('latitude, [degree]', fontsize=fontsize)\n",
    "plt.ylabel('depth, [m]', fontsize=fontsize)\n",
    "cbar=plt.colorbar(orientation=\"horizontal\", pad=.2)\n",
    "cbar.set_ticks([round(i,4) for i in np.linspace(cont[0], cont[1], 5)])\n",
    "cbar.set_label(cbartext, fontsize=fontsize)\n",
    "cbar.set_label(cbartext, fontsize=fontsize)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## computing MOC from meridional velocity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "year=1991\n",
    "result_path ='/work/ollie/dsidoren/transport_paper/run_c3/'\n",
    "std_dens=-mesh.zlev\n",
    "std_dens=np.array(std_dens)\n",
    "std_densN=len(std_dens)\n",
    "\n",
    "# define a descrete set of latitudes\n",
    "nlats=181\n",
    "lats=np.linspace(-90, 90, nlats)\n",
    "# allocate moc array\n",
    "moc   =np.zeros([std_densN, nlats])\n",
    "drhodz=np.zeros([std_densN, nlats])\n",
    "\n",
    "\n",
    "edge_dxdy_l=np.array([ edge_dxdy[1,:], -edge_dxdy[0,:]])\n",
    "edge_dxdy_r=np.array([-edge_dxdy[3,:],  edge_dxdy[2,:]])\n",
    "edge_dxdy_r[:, edge_tri[1,:]<0]=0.\n",
    "\n",
    "u   =0.\n",
    "v   =0.\n",
    "rhoz=0.\n",
    "ncfile = Dataset(os.path.join(result_path, 'U_rho_x_DZ.fesom.'+str(year)+'.nc'))\n",
    "u      = u+ncfile.variables['U_rho_x_DZ'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "\n",
    "ncfile = Dataset(os.path.join(result_path, 'V_rho_x_DZ.fesom.'+str(year)+'.nc'))\n",
    "v      = v+ncfile.variables['V_rho_x_DZ'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "\n",
    "#zonally averaged dRHO/dZ is used for diagnosing numerical mixing from dMOC\n",
    "ncfile = Dataset(os.path.join(result_path, 'RHO_Z.fesom.'+str(year)+'.nc'))\n",
    "rhoz   = rhoz+ncfile.variables['RHO_Z'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "    \n",
    "#for i in range(u.shape[1]):\n",
    "#    u[nlevels==i,i:]=0.\n",
    "#    v[nlevels==i,i:]=0.\n",
    "x_el=(mesh.x2[el_nodes].mean(axis=0))\n",
    "y_el=(mesh.x2[el_nodes].mean(axis=0))\n",
    "for I,Y in enumerate(lats):\n",
    "    ind=((mesh.y2[edges[0,:]]-Y)*(mesh.y2[edges[1,:]]-Y) < 0.)\n",
    "    ind2=(mesh.y2[edges[0,:]] <= Y)\n",
    "    edge_dxdy_l[:, ind2]=-edge_dxdy_l[:, ind2]\n",
    "    edge_dxdy_r[:, ind2]=-edge_dxdy_r[:, ind2]\n",
    "    \n",
    "    res1=(edge_dxdy_l[0,ind]*u[edge_tri[0,ind],:].T).sum(axis=1)\n",
    "    res2=(edge_dxdy_l[1,ind]*v[edge_tri[0,ind],:].T).sum(axis=1)\n",
    "    res3=(edge_dxdy_r[0,ind]*u[edge_tri[1,ind],:].T).sum(axis=1)\n",
    "    res4=(edge_dxdy_r[1,ind]*v[edge_tri[1,ind],:].T).sum(axis=1)\n",
    "    \n",
    "    [vec_x, vec_y]=vec_rotate_r2g(alpha, beta, gamma, x_el[edge_tri[0,ind]], y_el[edge_tri[0,ind]], edge_dxdy_l[0,ind], edge_dxdy_l[1,ind], 1)    \n",
    "    res5=(np.abs(vec_x)*rhoz[edge_tri[0,ind],:].T).sum(axis=1)\n",
    "    [vec_x, vec_y]=vec_rotate_r2g(alpha, beta, gamma, x_el[edge_tri[1,ind]], y_el[edge_tri[1,ind]], edge_dxdy_r[0,ind], edge_dxdy_r[1,ind], 1)    \n",
    "    res6=(np.abs(vec_x)*rhoz[edge_tri[1,ind],:].T).sum(axis=1)\n",
    "    \n",
    "    moc[:,I]   =-np.cumsum((res1+res2+res3+res4)[::-1])*1.e-6\n",
    "    drhodz[:,I]= res5+res6\n",
    "    \n",
    "    edge_dxdy_l[:, ind2]=-edge_dxdy_l[:, ind2]\n",
    "    edge_dxdy_r[:, ind2]=-edge_dxdy_r[:, ind2]\n",
    "\n",
    "moc=-np.flipud(moc)\n",
    "moc[-1,:]   =0.\n",
    "drhodz[-1,:]=0.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cbartext, cont = 'Sv', [-20., 20., .1]\n",
    "cmap=cmo.balance\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "plt.contourf(lats, -std_dens, moc, cmap=cmap, levels=np.linspace(cont[0], cont[1], 50), extend='both')\n",
    "plt.xlabel('latitude, [degree]', fontsize=fontsize)\n",
    "plt.ylabel('depth, [m]', fontsize=fontsize)\n",
    "cbar=plt.colorbar(orientation=\"horizontal\", pad=.2)\n",
    "cbar.set_ticks([round(i,4) for i in np.linspace(cont[0], cont[1], 5)])\n",
    "cbar.set_label(cbartext, fontsize=fontsize)\n",
    "cbar.set_label(cbartext, fontsize=fontsize)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## computing MOC in density coordinate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "year=1991\n",
    "result_path ='/work/ollie/dsidoren/transport_paper/run_c2/'\n",
    "# these shall be the density bins which are specified in gen_modules_diag.F90\n",
    "std_dens=[0.0000,   30.00000, 30.55556, 31.11111, 31.66667, 32.22222, \n",
    "32.77778, 33.33333, 33.88889, 34.44444, 35.00000, 35.10622, \n",
    "35.20319, 35.29239, 35.37498, 35.45187, 35.52380, 35.59136, \n",
    "35.65506, 35.71531, 35.77247, 35.82685, 35.87869, 35.92823, \n",
    "35.97566, 36.02115, 36.06487, 36.10692, 36.14746, 36.18656, \n",
    "36.22434, 36.26089, 36.29626, 36.33056, 36.36383, 36.39613, \n",
    "36.42753, 36.45806, 36.48778, 36.51674, 36.54495, 36.57246, \n",
    "36.59932, 36.62555, 36.65117, 36.67621, 36.70071, 36.72467, \n",
    "36.74813, 36.77111, 36.79363, 36.81570, 36.83733, 36.85857, \n",
    "36.87940, 36.89985, 36.91993, 36.93965, 36.95904, 36.97808, \n",
    "36.99682, 37.01524, 37.03336, 37.05119, 37.06874, 37.08602, \n",
    "37.10303, 37.11979, 37.13630, 37.15257, 37.16861, 37.18441, 37.5, 37.75, 40.]\n",
    "\n",
    "#std_dens=-mesh.zlev\n",
    "std_dens=np.zeros(1000)\n",
    "std_dens[0]=0\n",
    "std_dens[1:]=10.5/1000.\n",
    "std_dens[1:]=27.5+np.cumsum(std_dens[1:])\n",
    "\n",
    "#std_dens=np.zeros(1000)\n",
    "#std_dens[0]=0\n",
    "#std_dens[1:]=7000./1000.\n",
    "#std_dens[1:]=np.cumsum(std_dens[1:])\n",
    "\n",
    "std_dens=np.array(std_dens)\n",
    "std_densN=len(std_dens)\n",
    "\n",
    "# define a descrete set of latitudes\n",
    "nlats=181\n",
    "lats=np.linspace(-90, 90, nlats)\n",
    "# allocate moc array\n",
    "moc   =np.zeros([std_densN, nlats])\n",
    "drhodz=np.zeros([std_densN, nlats])\n",
    "\n",
    "\n",
    "edge_dxdy_l=np.array([ edge_dxdy[1,:], -edge_dxdy[0,:]])\n",
    "edge_dxdy_r=np.array([-edge_dxdy[3,:],  edge_dxdy[2,:]])\n",
    "edge_dxdy_r[:, edge_tri[1,:]<0]=0.\n",
    "\n",
    "u   =0.\n",
    "v   =0.\n",
    "rhoz=0.\n",
    "ncfile = Dataset(os.path.join(result_path, 'U_rho_x_DZ.fesom.'+str(year)+'.nc'))\n",
    "u      = u+ncfile.variables['U_rho_x_DZ'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "\n",
    "ncfile = Dataset(os.path.join(result_path, 'V_rho_x_DZ.fesom.'+str(year)+'.nc'))\n",
    "v      = v+ncfile.variables['V_rho_x_DZ'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "\n",
    "#zonally averaged dRHO/dZ is used for diagnosing numerical mixing from dMOC\n",
    "ncfile = Dataset(os.path.join(result_path, 'RHO_Z.fesom.'+str(year)+'.nc'))\n",
    "rhoz   = rhoz+ncfile.variables['RHO_Z'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "    \n",
    "#for i in range(u.shape[1]):\n",
    "#    u[nlevels==i,i:]=0.\n",
    "#    v[nlevels==i,i:]=0.\n",
    "x_el=(mesh.x2[el_nodes].mean(axis=0))\n",
    "y_el=(mesh.x2[el_nodes].mean(axis=0))\n",
    "for I,Y in enumerate(lats):\n",
    "    ind=((mesh.y2[edges[0,:]]-Y)*(mesh.y2[edges[1,:]]-Y) < 0.)\n",
    "    ind2=(mesh.y2[edges[0,:]] <= Y)\n",
    "    edge_dxdy_l[:, ind2]=-edge_dxdy_l[:, ind2]\n",
    "    edge_dxdy_r[:, ind2]=-edge_dxdy_r[:, ind2]\n",
    "    \n",
    "    res1=(edge_dxdy_l[0,ind]*u[edge_tri[0,ind],:].T).sum(axis=1)\n",
    "    res2=(edge_dxdy_l[1,ind]*v[edge_tri[0,ind],:].T).sum(axis=1)\n",
    "    res3=(edge_dxdy_r[0,ind]*u[edge_tri[1,ind],:].T).sum(axis=1)\n",
    "    res4=(edge_dxdy_r[1,ind]*v[edge_tri[1,ind],:].T).sum(axis=1)\n",
    "    \n",
    "    [vec_x, vec_y]=vec_rotate_r2g(alpha, beta, gamma, x_el[edge_tri[0,ind]], y_el[edge_tri[0,ind]], edge_dxdy_l[0,ind], edge_dxdy_l[1,ind], 1)    \n",
    "#   vec_x=edge_dxdy_l[0,ind]\n",
    "    res5=(np.abs(vec_x)*rhoz[edge_tri[0,ind],:].T).sum(axis=1)\n",
    "    [vec_x, vec_y]=vec_rotate_r2g(alpha, beta, gamma, x_el[edge_tri[1,ind]], y_el[edge_tri[1,ind]], edge_dxdy_r[0,ind], edge_dxdy_r[1,ind], 1)    \n",
    "#   vec_x=edge_dxdy_r[0,ind]\n",
    "    res6=(np.abs(vec_x)*rhoz[edge_tri[1,ind],:].T).sum(axis=1)\n",
    "    \n",
    "#   moc[:,I]   =-np.cumsum((res1+res2+res3+res4))*1.e-6\n",
    "    moc[:,I]   =-np.cumsum((res1+res2+res3+res4)[::-1])*1.e-6\n",
    "    drhodz[:,I]= res5+res6\n",
    "    \n",
    "    edge_dxdy_l[:, ind2]=-edge_dxdy_l[:, ind2]\n",
    "    edge_dxdy_r[:, ind2]=-edge_dxdy_r[:, ind2]\n",
    "\n",
    "moc=-np.flipud(moc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "cbartext, cont = 'Sv', [-20., 20.]\n",
    "moc[abs(moc)==0.] =np.nan\n",
    "moc[np.isnan(moc)]=0.1\n",
    "flt=np.array([0.125, 0.25, 0.25, 0.25, 0.125])\n",
    "moc_conv=np.apply_along_axis(lambda m: np.convolve(m, flt, mode='same'), axis=1, arr=moc)\n",
    "plt.contourf(lats, std_dens[:], moc[:,:], levels=np.linspace(cont[0], cont[1], 20), cmap=cmo.balance, extend='both')\n",
    "plt.ylim(38, 27.5)\n",
    "plt.xlabel('latitude, [degree]',   fontsize=fontsize)\n",
    "plt.ylabel('density,  [kg/m$^3$]', fontsize=fontsize)\n",
    "cbar=plt.colorbar(orientation=\"horizontal\", pad=.2)\n",
    "cbar.set_ticks([round(i,4) for i in np.linspace(cont[0], cont[1], 5)])\n",
    "cbar.set_label(cbartext, fontsize=fontsize)\n",
    "cbar.set_label(cbartext, fontsize=fontsize)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## computing barotropic streamfunction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ollie/dsidoren/miniconda3/lib/python3.5/site-packages/ipykernel_launcher.py:33: UserWarning: Warning: converting a masked element to nan.\n"
     ]
    }
   ],
   "source": [
    "edge_dxdy_l=np.array([ edge_dxdy[1,:], -edge_dxdy[0,:]])\n",
    "edge_dxdy_r=np.array([-edge_dxdy[3,:],  edge_dxdy[2,:]])\n",
    "edge_dxdy_r[:, edge_tri[1,:]<0]=0.\n",
    "\n",
    "year=1991\n",
    "\n",
    "ncfile = Dataset(os.path.join(result_path, 'u.fesom.'+str(year)+'.nc'))\n",
    "u      = ncfile.variables['u'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "\n",
    "ncfile = Dataset(os.path.join(result_path, 'v.fesom.'+str(year)+'.nc'))\n",
    "v      = ncfile.variables['v'][:].mean(axis=0)\n",
    "ncfile.close()\n",
    "\n",
    "X=np.arange(-180, 180, 1.)\n",
    "Y=np.arange(-90 ,  90, 1.)\n",
    "\n",
    "strf=np.zeros([len(X), len(Y)-1])\n",
    "for i in range(len(X)):\n",
    "    ind=((mesh.x2[edges[0,:]]-X[i])*(mesh.x2[edges[1,:]]-X[i]) <= 0.) & (abs(mesh.x2[edges[0,:]]-X[i])<50.) & (abs(mesh.x2[edges[1,:]]-X[i])<50.)\n",
    "    ind2=(mesh.x2[edges[0,:]] <= X[i])\n",
    "    edge_dxdy_l[:, ind2]=-edge_dxdy_l[:, ind2]\n",
    "    edge_dxdy_r[:, ind2]=-edge_dxdy_r[:, ind2]\n",
    "    \n",
    "    res1=(edge_dxdy_l[0,ind]*u[edge_tri[0,ind],:].T)\n",
    "    res2=(edge_dxdy_l[1,ind]*v[edge_tri[0,ind],:].T)\n",
    "    res3=(edge_dxdy_r[0,ind]*u[edge_tri[1,ind],:].T)\n",
    "    res4=(edge_dxdy_r[1,ind]*v[edge_tri[1,ind],:].T)\n",
    "    AUX=-(res1+res2+res3+res4)*1.e-6\n",
    "    \n",
    "    for j in range(len(Y)-1):\n",
    "        iind=(mesh.y2[edges[:,ind]].mean(axis=0)>Y[j]) & (mesh.y2[edges[:,ind]].mean(axis=0)<=Y[j+1])\n",
    "        strf[i,j]=np.sum(np.diff(-mesh.zlev)*AUX[:,iind].sum(axis=1))\n",
    "        \n",
    "    edge_dxdy_l[:, ind2]=-edge_dxdy_l[:, ind2]\n",
    "    edge_dxdy_r[:, ind2]=-edge_dxdy_r[:, ind2]\n",
    "\n",
    "strf=np.nancumsum(strf[:,:], axis=1)\n",
    "strf=-(strf-150.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1 import AxesGrid\n",
    "\n",
    "def shiftedColorMap(cmap, start=0, midpoint=0.5, stop=1.0, name='shiftedcmap'):\n",
    "    '''\n",
    "    Function to offset the \"center\" of a colormap. Useful for\n",
    "    data with a negative min and positive max and you want the\n",
    "    middle of the colormap's dynamic range to be at zero.\n",
    "\n",
    "    Input\n",
    "    -----\n",
    "      cmap : The matplotlib colormap to be altered\n",
    "      start : Offset from lowest point in the colormap's range.\n",
    "          Defaults to 0.0 (no lower offset). Should be between\n",
    "          0.0 and `midpoint`.\n",
    "      midpoint : The new center of the colormap. Defaults to \n",
    "          0.5 (no shift). Should be between 0.0 and 1.0. In\n",
    "          general, this should be  1 - vmax / (vmax + abs(vmin))\n",
    "          For example if your data range from -15.0 to +5.0 and\n",
    "          you want the center of the colormap at 0.0, `midpoint`\n",
    "          should be set to  1 - 5/(5 + 15)) or 0.75\n",
    "      stop : Offset from highest point in the colormap's range.\n",
    "          Defaults to 1.0 (no upper offset). Should be between\n",
    "          `midpoint` and 1.0.\n",
    "    '''\n",
    "    cdict = {\n",
    "        'red': [],\n",
    "        'green': [],\n",
    "        'blue': [],\n",
    "        'alpha': []\n",
    "    }\n",
    "\n",
    "    # regular index to compute the colors\n",
    "    reg_index = np.linspace(start, stop, 257)\n",
    "\n",
    "    # shifted index to match the data\n",
    "    shift_index = np.hstack([\n",
    "        np.linspace(0.0, midpoint, 128, endpoint=False), \n",
    "        np.linspace(midpoint, 1.0, 129, endpoint=True)\n",
    "    ])\n",
    "\n",
    "    for ri, si in zip(reg_index, shift_index):\n",
    "        r, g, b, a = cmap(ri)\n",
    "\n",
    "        cdict['red'].append((si, r, r))\n",
    "        cdict['green'].append((si, g, g))\n",
    "        cdict['blue'].append((si, b, b))\n",
    "        cdict['alpha'].append((si, a, a))\n",
    "\n",
    "    newcmap = matplotlib.colors.LinearSegmentedColormap(name, cdict)\n",
    "    plt.register_cmap(cmap=newcmap)\n",
    "\n",
    "    return newcmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.interpolate import griddata\n",
    "from scipy import interpolate\n",
    "from matplotlib import cm\n",
    "\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "cbartext, cont = 'Sv', [-50., 200.]\n",
    "cmap=cm.gist_ncar\n",
    "shifted_cmap = shiftedColorMap(cmap, midpoint=0.25, name='shifted')\n",
    "\n",
    "map = Basemap(projection='robin',lon_0=0)\n",
    "XG,YG=np.meshgrid(X, Y[1:])\n",
    "XX, YY = map(XG, YG)\n",
    "map.drawmapboundary(fill_color='0.9')\n",
    "map.drawcoastlines()\n",
    "map.drawparallels(np.arange(-90,90,30),labels=[1,0,0,0], fontsize=15)\n",
    "map.drawmeridians(np.arange(map.lonmin,map.lonmax+30,60),labels=[0,0,0,1])\n",
    "im=plt.contourf(XX, YY, strf.T, levels=np.linspace(cont[0], cont[1], 40), cmap=shifted_cmap, extend='both')\n",
    "map.fillcontinents(color='.7',lake_color='.7')\n",
    "cbar=map.colorbar(im,\"bottom\", size=\"5%\", pad=\"2%\")\n",
    "cbar.set_ticks([round(i,4) for i in np.linspace(cont[0], cont[1], 5)])\n",
    "cbar.set_label(cbartext, fontsize=fontsize)\n",
    "cbar.set_label(cbartext, fontsize=fontsize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
